PC-filter: a Robust filtering technique for duplicate record detection in large databases

Paper

Zhang, Ji, Ling, Tok Wang, Bruckner, Robert and Liu, Han. 2004. "PC-filter: a Robust filtering technique for duplicate record detection in large databases." Galindo, Fernando, Takizawa, Makoto and Traunmuller, Roland (ed.) 15th International Conference on Database and Expert Systems Applications (DEXA'04). Zaragoza, Spain 30 Aug - 03 Sep 2004 Germany. Springer. https://doi.org/10.1007/978-3-540-30075-5_47

Paper/Presentation Title	PC-filter: a Robust filtering technique for duplicate record detection in large databases
Presentation Type	Paper
Authors	Zhang, Ji (Author), Ling, Tok Wang (Author), Bruckner, Robert (Author) and Liu, Han (Author)
Editors	Galindo, Fernando, Takizawa, Makoto and Traunmuller, Roland
Journal or Proceedings Title	Lecture Notes in Computer Science (Book series)
Journal Citation	3180, pp. 486-496
Number of Pages	11
Year	2004
Publisher	Springer
Place of Publication	Germany
ISSN	1611-3349
	0302-9743
ISBN	9783540229360
Digital Object Identifier (DOI)	https://doi.org/10.1007/978-3-540-30075-5_47
Web Address (URL) of Paper	https://link.springer.com/chapter/10.1007/978-3-540-30075-5_47
Conference/Event	15th International Conference on Database and Expert Systems Applications (DEXA'04)
Event Details	15th International Conference on Database and Expert Systems Applications (DEXA'04) Event Date 30 Aug 2004 to end of 03 Sep 2004 Event Location Zaragoza, Spain
Abstract	In this paper, we will propose PC-Filter (PC stands for Partition Comparison), a robust data filter for approximately duplicate record detection in large databases. PC-Filter distinguishes itself from all of existing methods by using the notion of partition in duplicate detection. It first sorts the whole database and splits the sorted database into a number of record partitions. The Partition Comparison Graph (PCG) is then constructed by performing fast partition pruning. Finally, duplicate records are effectively detected by using internal and external partition comparison based on PCG. Four properties, used as heuristics, have been devised to achieve a remarkable efficiency of the filter based on triangle inequity of record similarity. PC-Filter is insensitive to the key used to sort the database, and can achieve a very good recall level that is comparable to that of the pair-wise record comparison method but only with a complexity of O(N4/3). Equipping existing detection methods with PC-Filter, we are able to well solve the “Key Selection” problem, the “Scope Specification” problem and the “Low Recall” problem that the existing methods suffer from.
Keywords	PC-filter; partition comparision filter; duplicate record detection
ANZSRC Field of Research 2020	469999. Other information and computing sciences not elsewhere classified
Public Notes	File reproduced in accordance with the copyright policy of the publisher/author.
Byline Affiliations	University of Toronto, Canada
	National University of Singapore
	Microsoft, United States

Permalink -

https://research.usq.edu.au/item/9z2q7/pc-filter-a-robust-filtering-technique-for-duplicate-record-detection-in-large-databases

Download files

Accepted Version

	Zhang_Ling_Bruckner_Liu_Dexa'04_AV.pdf
File access level: Anyone

1882
total views
688
total downloads
8
views this month
4
downloads this month

Export as

Related outputs

Enhancing Signal Processing Efficiency: A Novel Lossless Integer Compression Method (CIRB)

Farhat, Mohamad Khalil, Zhang, Ji, Tao, Xiaohui and Li, Tianning. 2025. "Enhancing Signal Processing Efficiency: A Novel Lossless Integer Compression Method (CIRB)." 2024 IEEE 17th International Conference on Signal Processing (ICSP). Suzhou, China 28 - 31 Oct 2024 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICSP62129.2024.10846506

Cross-Domain Sequential Recommendation with Temporal Encoding and Projection-Based Learning

Chen, Lvying, Zhang, Ji, Zhang, Yuxi, Yu, Sujie and Li, Bohan. 2025. "Cross-Domain Sequential Recommendation with Temporal Encoding and Projection-Based Learning." 25th International Conferenc on Web Information Systems Engineering (WISE 2024). Doha, Qatar 02 - 05 Dec 2024 Singapore. Springer. https://doi.org/10.1007/978-981-96-0570-5_6

Equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for Information Diffusion Prediction

Lu, Ye, Zhang, Ji, Yu, Ting and Yang, Gaoming. 2025. "Equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for Information Diffusion Prediction." 25th International Conferenc on Web Information Systems Engineering (WISE 2024). Doha, Qatar 02 - 05 Dec 2024 Singapore . Springer. https://doi.org/10.1007/978-981-96-0573-6_6

Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation

Yang, Gaoming, Ding, Yifeng, Fang, Xianjin, Zhang, Ji and Chu, Yan. 2025. "Fast face swapping with high-fidelity lightweight generator assisted by online knowledge distillation." The Visual Computer. 41 (2), pp. 1251-1271. https://doi.org/10.1007/s00371-024-03414-2

Sentiment Analysis for Detection of Depressive Users on Social Networks

Wigell, Christopher, Tao, Xiaohui, Li, Lin, Wang, Grace Y, Zhang, Ji and Sun, Yuan. 2024. "Sentiment Analysis for Detection of Depressive Users on Social Networks." The 11th International Conference on Behavioural and Social Computing. Harbin, China 16 - 18 Aug 2024 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BESC64747.2024.10780472

Maximizing influence via link prediction in evolving networks

Zhang, Kexin, Li, Mo, Teng, Shuang, Li, Lingling, Wang, Yi, Zhao, Xuezhuan, Di, Jinhong and Zhang, Ji. 2024. "Maximizing influence via link prediction in evolving networks." Array. 24. https://doi.org/10.1016/j.array.2024.100366

Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction

Wang, Xinyu, Qiang, Feng, Ma, Li, Zhang, Peng, Yang, Hong Yang, Li, Zhao and Zhang, Ji. 2024. "Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction." 2024 International Joint Conference on Neural Networks (IJCNN). Yokohama, Japan 30 Jun - 05 Jul 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN60899.2024.10651498

Movie recommendation and classification system using block chain

Abduljabbar, Tamara, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan. 2024. "Movie recommendation and classification system using block chain ." Web Intelligence. 22 (4), pp. 659-680. https://doi.org/10.3233/WEB-230346

EventsVista: Enhancing Event Visualization and Interpretation

Farhat, Mohamad Khalil, Zhang, Ji, Tao, Xiaohui, Li, Tianning and Yu, T.. 2024. "EventsVista: Enhancing Event Visualization and Interpretation." 2023 10th International Conference on Behavioural and Social Computing (BESC). Larnaca, Cyprus 30 Oct - 01 Nov 2023 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BESC59560.2023.10386648

Privacy-preserving pathological data sharing among multiple remote parties

Wu, Wei, Chen, Fulong, Yuan, Pinghai, Wang, Taochun, Xie, Dong, Zhao, Chuanxin, Wang, Chao, Tang, Detao, Li, Jingtao Li and Zhang, Ji. 2024. "Privacy-preserving pathological data sharing among multiple remote parties." Blockchain: Research and Applications. 5 (3). https://doi.org/10.1016/j.bcra.2024.100204

Partial policy hidden medical data access control method based on CP-ABE

Huang, Jing, Tang, Detao, Jiang, Chenyu, Chen, Fulong, Zhang, Ji, Xie, Dong, Wang, Taochun, Zhao, Chuanxin, Wang, Chao and Li, Jintao. 2024. "Partial policy hidden medical data access control method based on CP-ABE." Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-024-04843-6

Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection

He, Yifan, Bian, Yatao, Ding, Xi, Wu, Bingzhe, Guan, Jihong, Zhang, Ji and Zhou, Shuigeng. 2024. "Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection." ACM Transactions on Knowledge Discovery from Data. 18 (8). https://doi.org/10.1145/3663573

Generous teacher: Good at distilling knowledge for student learning

Ding, Yifeng, Yang, Gaoming, Yin, Shuting, Zhang, Ji, Fang, Xianjin and Yang, Wencheng. 2024. "Generous teacher: Good at distilling knowledge for student learning." Image and Vision Computing. 150. https://doi.org/10.1016/j.imavis.2024.105199

P-Chain: Towards privacy-aware smart contract using SMPC

Diao, Yiqing, Ye, Ayong, Zhang, Yuexin, Zhang, Ji and Xu, Li. 2024. "P-Chain: Towards privacy-aware smart contract using SMPC." Journal of Information Security and Applications. 86. https://doi.org/10.1016/j.jisa.2024.103872

A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction

Xu, Zenghui, Li, Mingzhang, Yu, Ting, Hou, Linlin, Zhang, P., Kiran, Rage Uday, Li, Zhao and Zhang, Ji. 2024. "A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction." A.M., Strauss C.Amagasa T.Manco G.Kotsis G.Khalil I.Tjoa (ed.) 35th International Conference on Database and Expert Systems Applications (DEXA 2024). Naples, Italy 26 - 28 Aug 2024 Switzerland . Springer. https://doi.org/10.1007/978-3-031-68312-1_21

Accelerating Maximal Bicliques Enumeration with GPU on large scale network

Wu, Chunqi, Li, Jingdong, Li, Zhao, Zhang, Ji and Tang, Pan. 2024. "Accelerating Maximal Bicliques Enumeration with GPU on large scale network." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 161, pp. 601-613. https://doi.org/10.1016/j.future.2024.07.021

Stationary Multi-scale Hierarchical Dilated Graph Convolution for Multivariate Time Series Anomaly Detection

Liang, Lifang, Qiu, Xuyi, Zhang, Yan, Guan, Donghai, Zhang, Ji and Yuan, Weiwei. 2024. "Stationary Multi-scale Hierarchical Dilated Graph Convolution for Multivariate Time Series Anomaly Detection." 5th International Conference on Big Data and Security (ICBDS 2023). Nanjing, China 22 - 24 Dec 2023 Singapore . Springer. https://doi.org/10.1007/978-981-97-4390-2_5

Magnitude-Contrastive Network for Unsupervised Graph Anomaly Detection

Ge, Fei, Zhang, Ji, Wang, Zhen, Zhou, Yuqian and Li, Zhao. 2024. "Magnitude-Contrastive Network for Unsupervised Graph Anomaly Detection." H., Zhang W.Yang Z.Wang X.Tung A.Zheng Z.Guo (ed.) 8th APWeb-WAIM joint International Conference on Web and Big Data (APWeb-WAIM 2024). Jinhua, China 30 Aug - 01 Sep 2024 Singapore . Springer. https://doi.org/10.1007/978-981-97-7241-4_30

Epidemic Source Identification Based on Infection Graph Learning

Hong, Xingyun, Yu, Ting, Li, Zhao and Zhang, Ji. 2024. "Epidemic Source Identification Based on Infection Graph Learning." 7th International Joint Conference on Asia-Paciﬁc Web and Web-Age Information Management (APWeb-WAIM 2023). Wuhan, China 06 - 08 Oct 2023 Singapore . Springer. https://doi.org/10.1007/978-981-97-2303-4_16

ConIS: controllable text-driven image stylization with semantic intensity

Yang, Gaoming, Li, Changgeng and Zhang, Ji. 2024. "ConIS: controllable text-driven image stylization with semantic intensity." Multimedia Systems. 30 (4). https://doi.org/10.1007/s00530-024-01381-1

Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion

Zhang, Kexin, Zhao, Xuezhuan, Chen, Yu, Wu, Di, Cai, Taotao, Wang, Yi, Li, Lingling and Zhang, Ji. 2024. "Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion." International Journal of Electrochemical Science. 19 (5). https://doi.org/10.1016/j.ijoes.2024.100558

RCNet: Related Context-Driven Network with Hierarchical Attention for Salient Object Detection

Xia, Chenxing, Sun, Yanguang, Li, Kuan-Ching, Ge, Bin, Zhang, Hanling, Jiang, Bo and Zhang, Ji. 2024. "RCNet: Related Context-Driven Network with Hierarchical Attention for Salient Object Detection." Expert Systems with Applications. 237 (Part A). https://doi.org/10.1016/j.eswa.2023.121441

A Blockchain-Based Trustworthy Access Control Scheme for Medical Data Sharing

Wang, Canling, Wu, Wei, Chen, Fulong, Shu, Hong, Zhang, Ji, Zhang, Yuxuan, Wang, Taochun, Xie, Dong and Zhao, Chuanxin. 2024. "A Blockchain-Based Trustworthy Access Control Scheme for Medical Data Sharing." IET Information Security. 2024. https://doi.org/10.1049/2024/5559522

Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs

Yu, Ting, Jiang, Ting, Bah, Mohamed Jaward, Zhao, Chen, Huang, Hao, Liu, Mengchi, Zhou, Shuigeng, Li, Zhao and Zhang, Ji. 2024. "Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs." IEEE Transactions on Knowledge and Data Engineering. 36 (4), pp. 1650-1666. https://doi.org/10.1109/TKDE.2023.3311398

Pyramid style-attentional network for arbitrary style transfer

Yang, Gaoming, Zhang, Shicheng, Fang, Xianjin and Zhang, Ji. 2024. "Pyramid style-attentional network for arbitrary style transfer." Multimedia Tools and Applications. 83 (5), pp. 3483-13502. https://doi.org/10.1007/s11042-023-15650-0

Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation

Wang, Zhen, Zhang, Yang, Pang, Yan, Wang, Nannan, Bah, Mohamed Jaward, Li, Ke and Zhang, Ji. 2024. "Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation." IEEE Transactions on Neural Networks and Learning Systems. 35 (12), pp. 17504-7518. https://doi.org/10.1109/TNNLS.2023.3305542

A graph-powered large-scale fraud detection system

Li, Zhao, Wang, Biao, Huang, Jiaming, Jin, Yilun, Xu, Zenghui, Zhang, Ji and Gao, Jianliang. 2024. "A graph-powered large-scale fraud detection system." International Journal of Machine Learning and Cybernetics. 15 (1), p. 115–128. https://doi.org/10.1007/s13042-023-01786-w

Class-Level Logit Perturbation

Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2024. "Class-Level Logit Perturbation." IEEE Transactions on Neural Networks and Learning Systems. 35 (10), pp. 13926-13940. https://doi.org/10.1109/TNNLS.2023.3273355

CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection

Gao, Jianliang, Chen, Jiamin, Oloulade, Babatounde Moctard, Al-Sabri, Raeed, Lyu, Tengfei, Zhang, Ji and Li, Zhao. 2024. "CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection." IEEE Transactions on Emerging Topics in Computing. 12 (2), pp. 444-454. https://doi.org/10.1109/TETC.2023.3270181

Entity alignment via graph neural networks: a component-level study

Shu, Yanfeng, Zhang, Ji, Huang, Guangyan, Chi, Chi-Hung and He, Jing. 2023. "Entity alignment via graph neural networks: a component-level study." World Wide Web. 26 (6), pp. 4069-4092. https://doi.org/10.1007/s11280-023-01221-8

SARW: Similarity-Aware Random Walk for GCN

Hou, Linlin, Zhang, Haixiang, Hou, Qing-Hu, Guo, Alan J.X., Wu, Ou, Yua, Ting and Zhang, Ji. 2023. "SARW: Similarity-Aware Random Walk for GCN." Intelligent Data Analysis. 27 (6), pp. 1615 -1636. https://doi.org/10.3233/IDA-227085

Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification

Jaworsky, Markian, Tao, Xiaohui, Yong, Jianming, Pan, Lei, Zhang, Ji and Pokhrel, Shiva Raj. 2023. "Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Singapore. https://doi.org/10.1007/978-981-99-7108-4_10

The Impact on Employability by COVID-19 Pandemic - AI Case Studies

Bandi, Venkata Bharath, Tao, Xiaohui, Shaik, Thanveer, Yong, Jianming and Zhang, Ji. 2023. "The Impact on Employability by COVID-19 Pandemic - AI Case Studies ." 24th International Conference on Web Information Systems Engineering (WISE 2023). Melbourne, Australia 25 - 27 Oct 2023 Singapore . Springer. https://doi.org/10.1007/978-981-99-7254-8_66

Interrelated feature selection from health surveys using domain knowledge graph

Jaworsky, Markian, Tao, Xiaohui, Pan, Lei, Pokhrel, Shiva Raj, Yong, Jianming and Zhang, Ji. 2023. "Interrelated feature selection from health surveys using domain knowledge graph." Health Information Science and Systems. 11. https://doi.org/10.1007/s13755-023-00254-7

Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks

Zhang, Yang, Wang, Zhen, Yu, Ting, Lu, Mingming, Ren, Zujie and Zhang, Ji. 2023. "Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks." Proceedings of the 10th IEEE International Conference on Big Data (2022). Osaka, Japan 17 - 20 Dec 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BigData55660.2022.10020547

IDGMS: a One-Stop Graph Mining System for Infectious Diseases

Xu, Zenghui, Yu, Ting, Hong, Xingyun, Li, Mingzhang, Zhang, Yang, Ren, Zujie and Zhang, Ji. 2023. "IDGMS: a One-Stop Graph Mining System for Infectious Diseases." Proceedings of the 10th IEEE International Conference on Big Data (2022). Osaka, Japan 17 - 20 Dec 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BigData55660.2022.10020537

Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction

Wang, Zhen, Cooley, Madison, Zhang, Yang, Lan, Chao and Zhang, Ji. 2023. "Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction." Proceedings of the 10th IEEE International Conference on Big Data (2022). Osaka, Japan 17 - 20 Dec 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BigData55660.2022.10020166

Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals

Lafta, Raid, Alshaheen, Hisham, Wang, Biao, Tao, Xiaohui, Li, Lingling, Zhang, Kexin and Zhang, Ji. 2023. "Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals." Proceedings of the 10th IEEE International Conference on Big Data (2022). Osaka, Japan 17 - 20 Dec 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BigData55660.2022.10020818

A Parallel Framework for Streaming Graphs Computing

Jiang, Ting, Yu, Ting, Hong, Zexian, Ren, Zujie and Zhang, Ji. 2023. "A Parallel Framework for Streaming Graphs Computing." Proceedings of the 10th IEEE International Conference on Big Data (2022). Osaka, Japan 17 - 20 Dec 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BigData55660.2022.10020995

Hyperspectral Anomaly Detection based on Autoencoder using Superpixel Manifold Constraint

Gan, Yuquan, Liu, Wenqiang, Liu, Ying, He, Jinglu and Zhang, Ji. 2023. "Hyperspectral Anomaly Detection based on Autoencoder using Superpixel Manifold Constraint." 2022 5th International Conference on Artificial Intelligence and Pattern Recognition (AIPR 2022). Xiamen China 23 - 25 Sep 2022 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3573942.3574108

A Generative Adversarial Active Learning Method for Effective Outlier Detection

Bah, Mohamed Jaward, Zhang, Ji, Yu, Ting, Xia, Feng, Li, Zhao, Zhou, Shuigeng and Wang, Hongzhi. 2023. "A Generative Adversarial Active Learning Method for Effective Outlier Detection." 34th International Conference on Tools with Artificial Intelligence (ICTAI 2022). Macao, China 31 Oct - 02 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICTAI56018.2022.00027

Decentralized Blockchain Network

Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan. 2023. "Decentralized Blockchain Network." 2022 Tenth International Conference on Advanced Cloud and Big Data (CBD). Guilin, China 04 - 05 Nov 2022 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CBD58033.2022.00049

Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation

Wang, Yani, Zhang, Ji, Zhou, Xiangmin and Zhang, Yang. 2023. "Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation." 6th International Joint Conference on Asia-Paciﬁc Web and Web-Age Information Management (APWeb-WAIM 2022). Nanjing, China 25 - 27 Nov 2022 Switzerland . https://doi.org/10.1007/978-3-031-25201-3_13

An Efficient Embedding Framework for Uncertain Attribute Graph

Jiang, Ting, Yu, Ting, Qiao, Xueting and Zhang, Ji. 2023. "An Efficient Embedding Framework for Uncertain Attribute Graph." 34th International Conference on Database and Expert Systems Applications (DEXA 2023). Penang, Malaysia 28 - 30 Aug 2023 Switzerland . https://doi.org/10.1007/978-3-031-39821-6_18

GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing

Zhao, Jin, Zhang, Yu, He, Ligang, Li, Qikun, Zhang, Xiang, Jiang, Xinyu, Yu, Hui, Liao, Xiaofei, Jin, Hai, Gu, Lin, Liu, Haikun, He, Bingsheng, Zhang, Ji, Song, Xianzheng, Wang, Lin and Zhou, Jun. 2023. "GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing." ACM Transactions on Architecture and Code Optimization. 20 (3), pp. 1-24. https://doi.org/10.1145/3600091

EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing

Zhang, Yu, Liang, Yuxuan, Zhao, Jin, Mao, Fubing, Gu, Lin, Liao, Xiaofei, Jin, Hai, Liu, Haikun, Guo, Song, Zeng, Yangqing, Hu, Hang, Li, Chen, Zhang, Ji and Wang, Biao. 2023. "EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing." IEEE Transactions on Knowledge and Data Engineering. 35 (6), pp. 5823-5836. https://doi.org/10.1109/TKDE.2022.3171588

DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers

Zhang, Ji, Liu, Chia-Chun and Ying, Josh Jia-Ching. 2023. "DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers." Journal of Ambient Intelligence and Humanized Computing. 14 (12), pp. 15997-16009. https://doi.org/10.1007/s12652-023-04554-4

An efficient hardware accelerator for monotonic graph algorithms on dynamic directed graphs

Yang, Yun, Yu, Hui, Zhao, Jin, Zhang, Yu, Liao, Xiaofei, Jiang, Xinyu, Jin, Hai, Liu, Haikun, Mao, Fubing, Zhang, Ji and Wang, Biao. 2023. "An efficient hardware accelerator for monotonic graph algorithms on dynamic directed graphs." Scientia Sinica Informationis. 53 (8), pp. 1575-1592. https://doi.org/10.1360/SSI-2022-0191

FDS_2D: rethinking magnitude-phase features for DeepFake detection

Yang, Gaoming, Wei, Anxing, Fang, Xianjin and Zhang, Ji. 2023. "FDS_2D: rethinking magnitude-phase features for DeepFake detection." Multimedia Systems. 29 (4), pp. 2399-2413. https://doi.org/10.1007/s00530-023-01118-6

Facial depth forgery detection based on image gradient

Xu, Kun, Yang, Gaoming, Fang, Xianjin and Zhang, Ji. 2023. "Facial depth forgery detection based on image gradient." Multimedia Tools and Applications. 82 (19), pp. 29501-29525. https://doi.org/10.1007/s11042-023-14626-4

Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach

Wang, Zhen, Jiang, Ting, Xu, Zenghui, Zhang, Ji and Gao, Jianliang. 2023. "Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach." IEEE Intelligent Systems. 38 (3), pp. 3-11. https://doi.org/10.1109/MIS.2023.3239797

SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning

Wang, Jialin, Qu, Xiaoru, Bai, Jinze, Li, Zhao, Zhang, Ji and Gao, Jun. 2023. "SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning." IEEE Transactions on Knowledge and Data Engineering. 35 (5), pp. 5216-5229. https://doi.org/10.1109/TKDE.2022.3148272

Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set compliments

Veena, Pamalla, Sreepada, Tarun, Kiran, Rage Uday, Dao, Minh-Son, Zettsu, Koli, Watanobe, Yutaka and Zhang, Ji. 2023. "Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set compliments." IEEE Access. 11, pp. 118676-118688. https://doi.org/10.1109/ACCESS.2023.3326419

High-Order Correlation-Guided Slide-Level Histology Retrieval with Self-Supervised Hashing

Li, Shengrui, Zhao, Yining, Zhang, Jun, Yu, Ting, Zhang, Ji and Gao, Yue. 2023. "High-Order Correlation-Guided Slide-Level Histology Retrieval with Self-Supervised Hashing." IEEE Transactions on Pattern Analysis and Machine Intelligence. 45 (9), pp. 11008-11023. https://doi.org/10.1109/TPAMI.2023.3269810

Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management

He, Yifan, Li, Zhao, Li, Zhenpeng, Zhou, Shuigeng, Yu, Ting and Zhang, Ji. 2023. "Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management." IEEE Transactions on Network and Service Management. 20 (2), pp. 1040-1050. https://doi.org/10.1109/TNSM.2023.3234114

Video face forgery detection via facial motion-assisted capturing dense optical flow truncation

Yang, Gaoming, Xu, Kun, Fang, Xianjin and Zhang, Ji. 2023. "Video face forgery detection via facial motion-assisted capturing dense optical flow truncation." The Visual Computer. 39 (11), pp. 5589-5608. https://doi.org/10.1007/s00371-022-02683-z

RSFace: subject agnostic face swapping with expression high fidelity

Yang, Gaoming, Wang, Tao, Fang, Xianjin and Zhang, Ji. 2023. "RSFace: subject agnostic face swapping with expression high fidelity." The Visual Computer. 39 (11), pp. 5497-5511. https://doi.org/10.1007/s00371-022-02675-z

Context-aware Adaptive Outlier Detection in Trajectory Data

Danda, Srinivas, Zhang, Ji, Tao, Xiaohui, Chun-Wei, Jerry and Zhang, Wenbin. 2020. "Context-aware Adaptive Outlier Detection in Trajectory Data." Wu, Xintao, Jermaine, Chris, Xiong, Li, Hu, Xiaohua, Kotevska, Olivera, Lu, Siyuan, Xu, Weija, Aluru, Srinivas, Zhai, Chengxiang, Al-Masri, Eyhab, Chen, Zhiyuan and Saltz, Jeff (ed.) 8th IEEE International Conference on Big Data (2020). Atlanta, United States 10 - 13 Dec 2020 United States. https://doi.org/10.1109/BigData50022.2020.9378046

Distant Supervision for E-commerce Query Segmentation via Attention Network

Li, Zhao, Ding, Donghui, Zou, Pengcheng, Gong, Yu, Chen, Xi, Zhang, Ji, Gao, Jianliang, Wu, Youxi and Duan, Yucong. 2022. "Distant Supervision for E-commerce Query Segmentation via Attention Network." Gao, Honghao, Kim, Jung Yoon, Hussain, Walayat, Iqbal, Muddesar and Duan, Yucong (ed.) Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge. Switzerland . Springer. pp. 3-19

A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography

Ying, Josh Jia-Ching, Yang, Wan-Ju, Zhang, Ji, Ni, Yu-Ching, Lin, Chia-Yu, Tseng, Fan-Pin and Tao, Xiaohui. 2022. "A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography." 18th International Conference on Advanced Data Mining and Applications (ADMA 2022). Brisbane, Australia 28 - 30 Nov 2022 Switzerland. https://doi.org/10.1007/978-3-031-22064-7_21

Enhanced Simple Question Answering with Contrastive Learning

Wang, Xin, Yang, Lan, He, Honglian, Fang, Yu, Zhan, Huayi and Zhang, Ji. 2022. "Enhanced Simple Question Answering with Contrastive Learning." 15th International Conference on Knowledge Science, Engineering and Management (KSEM 2022). Singapore 06 - 08 Aug 2022 Switzerland . Springer. https://doi.org/10.1007/978-3-031-10983-6_39

Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements

Veena, P., Sreepada, Tarun, Kiran, R. Uday, Dao, Minh-Son, Zettsu, Koji, Watanobe, Yutaka and Zhang, Ji. 2022. "Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements." 33rd International Conference on Database and Expert Systems Applications (DEXA 2022). Vienna, Austria 22 - 24 Aug 2022 Switzerland . Springer. https://doi.org/10.1007/978-3-031-12426-6_16

Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks

Liang, Qiliang, Zhang, Ji, Bah, Mohamed Jaward, Li, Hongzhou, Chang, Liang and Kiran, Rage Uday. 2022. "Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks." 33rd International Conference on Database and Expert Systems Applications (DEXA 2022). Vienna, Austria 22 - 24 Aug 2022 Switzerland. Springer. https://doi.org/10.1007/978-3-031-12426-6_14

Logit Perturbation

Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2022. "Logit Perturbation." 36th AAAI Conference on Artificial Intelligence (AAAI 2022). 22 Feb - 01 Mar 2022 United Sates. https://doi.org/10.1609/aaai.v36i2.20024

Skeleton-Based Mutual Action Recognition Using Interactive Skeleton Graph and Joint Attention

Jia, Xiangze, Zhang, Ji, Wang, Zhen, Luo, Yonglong, Chen, Fulong and Yang, Gaoming. 2022. "Skeleton-Based Mutual Action Recognition Using Interactive Skeleton Graph and Joint Attention." 33rd International Conference on Database and Expert Systems Applications (DEXA 2022). Vienna, Austria 22 - 24 Aug 2022 Switzerland . Springer. https://doi.org/10.1007/978-3-031-12426-6_9

JointContrast: Skeleton-Based Mutual Action Recognition with Contrastive Learning

Jia, Xiangze, Zhang, Ji, Wang, Zhen, Luo, Yonglong, Chen, Fulong and Xiao, Jing. 2022. "JointContrast: Skeleton-Based Mutual Action Recognition with Contrastive Learning." 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2022). Shanghai, China 10 - 13 Nov 2022 Switzerland . Springer. https://doi.org/10.1007/978-3-031-20868-3_35

Automated Knowledge Graph Construction for Healthcare Domain

Jaworsky, Markian, Tao, Xiaohui, Yong, Jianming, Pan, Lei, Zhang, Ji and Pokhrel, Shiva. 2022. "Automated Knowledge Graph Construction for Healthcare Domain." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland . https://doi.org/10.1007/978-3-031-20627-6_24

TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs

Gao, Jianliang, Li, Zhao, Xiong, Fan, Liu, Xiangyue, Xiao, Jie, Wang, Biao and Zhang, Ji. 2022. "TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs." 2021 IEEE 23rd International Conference on High Performance Computing and Communications (HPCC). Hainan, China 20 - 22 Dec 2021 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00306

A Secured Movie Recommendation System using Decentralized Blockchain Network

Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan. 2022. "A Secured Movie Recommendation System using Decentralized Blockchain Network." 9th International Conference on Behavior, Economic and Social Computing (BESC 2022). Matsuyama, Japan 29 202 - 31 Oct 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BESC57393.2022.9995357

An efficient storage system towards high throughput of concurrent graph processing jobs

Zhao, Jin, Jiang, Xinyu, Zhang, Yu, Zhu, Xiaofei, Jin, Hai, Liu, Haikun, Yang, Yun, Zhang, Ji, Wang, Biao and Yu, Ting. 2022. "An efficient storage system towards high throughput of concurrent graph processing jobs." Scientia Sinica Informationis. 52 (1), pp. 111-128.

Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation

Zhang, Kexin, Li, Lingling, Di, Jinhong, Wang, Yi, Zhao, Xuezhuan and Zhang, Ji. 2022. "Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation." Processes. 10 (12). https://doi.org/10.3390/pr10122623

Learning discriminative representation with global and fine-grained features for cross-view gait recognition

Xiao, Jing, Yang, Huan, Xie, Kun, Zhu, Jia and Zhang, Ji. 2022. "Learning discriminative representation with global and fine-grained features for cross-view gait recognition." CAAI Transactions on Intelligence Technology. 7 (2), pp. 187-199. https://doi.org/10.1049/cit2.12051

OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining

Wu, Youxi, Wang, Xiaohui, Li, Yan, Guo, Lei, Li, Zhao, Zhang, Ji and Wu, Xindong. 2022. "OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining." ACM Transactions on Management Information Systems. 13 (3), pp. 1-23. https://doi.org/10.1145/3476247

Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes

Weng, Xi, Yan, Yan, Dong, Genshun, Shu, Chang, Wang, Biao, Wang, Hanzi and Zhang, Ji. 2022. "Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes." IEEE Transactions on Intelligent Transportation Systems. 23 (10), pp. 17224-17240. https://doi.org/10.1109/TITS.2022.3150350

Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest

Shao, Ming-Min, Jiang, Wen-Jun, Wu, Jie, Shi, Yu-Qing, Yum, TakShing and Zhang, Ji. 2022. "Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest." Journal of Computer Science and Technology. 37 (6), pp. 1444-1463. https://doi.org/10.1007/s11390-021-2124-z

Sparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network

Pang, Yan, Shan, Ai, Wang, Zhen, Wang, Mengyu, Lin, Jianwei, Zhang, Ji, Huang, Teng and Liu, Chao. 2022. "Sparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network." International Journal of Intelligent Systems. 37 (11), pp. 8770-8789. https://doi.org/10.1002/int.22967

Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification

Pang, Yan, Huang, Teng, Wang, Zhen, Lin, Jianwei, Hosseini, Poorya, Zhang, Ji, Liu, Chao and Ai, Shan. 2022. "Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification ." International Journal of Intelligent Systems. 37 (11), pp. 8747-8769. https://doi.org/10.1002/int.22966

An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection

Li, Jiamu, Zhang, Ji, Bah, Mohamed Jaward, Wang, Jian, Zhu, Youwen, Yang, Gaoming, Li, Lingling and Zhang, Kexin. 2022. "An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection." Algorithms. 15 (11). https://doi.org/10.3390/a15110429

Lightweight Mutual Authentication Scheme Enabled by Stateless Blockchain for UAV Networks

Kong, Lingjun, Chen, Bing, Hu, Feng and Zhang, Ji. 2022. "Lightweight Mutual Authentication Scheme Enabled by Stateless Blockchain for UAV Networks." Security and Communication Networks. 2022. https://doi.org/10.1155/2022/2330052

A Survey on Contact Tracing: The Latest Advancements and Challenges

Jiang, Ting, Zhang, Yang Zhang, Zhang, Minhao, Yu, Ting, Chen, Yizheng, Lu, Chenhao, Zhang, Ji, Li, Zhao, Gao, Jun and Zhou, Shuigeng. 2022. "A Survey on Contact Tracing: The Latest Advancements and Challenges." ACM Transactions on Spatial Algorithms and Systems. 8 (2), pp. 1-35. https://doi.org/10.1145/3494529

Message from the Program Chair

Zhang, Ji. 2022. "Message from the Program Chair." 2022 7th International Conference on Cyber Security and Information Engineering (ICCSIE). Brisbane, Australia 23 - 25 Sep 2022 Brisbane, Australia. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICCSIE56462.2022.00006

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention

Hou, Linlin, Zhang, Ji, Wu, Ou, Yu, Ting, Wang, Zhen, Li, Zhao, Gao, Jianliang, Ye, Yingchun and Yao, Rujing. 2022. "Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention." Knowledge-Based Systems. 235. https://doi.org/10.1016/j.knosys.2021.107621

Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention

Wu, Yuxin, Xu, Zenghui, Li, Hongzhou, Gan, Yuquan, Ying, Josh Jia-Ching, Yu, Ting and Zhang, Ji. 2022. "Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention." 18th International Conference on Advanced Data Mining and Applications (ADMA 2022). Brisbane, Australia 28 - 30 Nov 2022 Switzerland. https://doi.org/10.1007/978-3-031-22064-7_8

Detecting relational states in online social networks

Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Pham, Thuan, Zhu, Xiaodong, Li, Hongzhou and Chang, Liang. 2018. "Detecting relational states in online social networks." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 United States. https://doi.org/10.1109/BESC.2018.8697237

On link stability detection for online social networks

Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Lin, Jerry Chun-Wei, Li, Hongzhou and Chang, Liang. 2018. "On link stability detection for online social networks." Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Gunther and Wagner, Roland R. (ed.) 29th International Conference on Database and Expert Systems Applications (DEXA 2018). Regensburg, Germany 03 - 06 Sep 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-319-98809-2_20

Learning relational fractals for deep knowledge graph embedding in online social networks

Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Wang, Dianwei, Ying, Josh Jia-Ching and Wang, Xin. 2019. "Learning relational fractals for deep knowledge graph embedding in online social networks." Cheng, Reynold, mamoulis, Nikos, Sun, Yizhou and Huang, Xin (ed.) 20th International Conference on Web Information Systems Engineering (WISE 2019): Workshop, Demo and Tutorial. Hong Kong, China 19 - 22 Jan 2020 Singapore. Springer. https://doi.org/10.1007/978-3-030-34223-4_42

Mining multispectral aerial images for automatic detection of strategic bridge locations for disaster relief missions

Munawar, Hafiz Suliman, Zhang, Ji, Li, Hongzhou, Mo, Deqing and Chang, Liang. 2019. "Mining multispectral aerial images for automatic detection of strategic bridge locations for disaster relief missions." Leong, Hou U. and Lauw, Hady W. (ed.) 8th Workshop on Biologically-Inspired Techniques for Knowledge Discovery and Data Mining (BDM 2019), held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019). Macau, China 14 - 17 Apr 2019 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-030-26142-9_17

A metaheuristic algorithm for hiding sensitive itemsets

Lin, Jerry Chun-Wei, Zhang, Yuyu, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2018. "A metaheuristic algorithm for hiding sensitive itemsets." Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Gunther and Wagner, Roland R. (ed.) 29th International Conference on Database and Expert Systems Applications (DEXA 2018). Regensburg, Germany 03 - 06 Sep 2018 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-319-98812-2_45

Twitter analysis for depression on social networks based on sentiment and stress

Tao, Xiaohui, Dharmalingam, Ravi, Zhang, Ji, Zhou, Xujuan, Li, Lin and Gururajan, Raj. 2019. "Twitter analysis for depression on social networks based on sentiment and stress." 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2019). Beijing, China 28 - 30 Oct 2019 United States. https://doi.org/10.1109/BESC48373.2019.8963550

Personalised drug prescription for dental clinics using word embedding

Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Oh, Xue Ling and Goh, Elizabeth Zhixin. 2020. "Personalised drug prescription for dental clinics using word embedding." Hou U, Leong, Yang, Jian, Cai, Yi, Karlapalem, Kamalakar, Liu, An and Huang, Xin (ed.) 20th International Conference on Web Information Systems Engineering (WISE 2019): Workshop, Demo and Tutorial. Hong Kong, China 19 - 22 Jan 2020 Singapore. https://doi.org/10.1007/978-981-15-3281-8_5

MeKG: building a medical knowledge graph by data mining from MEDLINE

Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhou, Xujuan and Gururajan, Raj. 2019. "MeKG: building a medical knowledge graph by data mining from MEDLINE." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-37078-7_16

An efficient and secure itinerary-based data aggregation algorithm for WSNs

Wang, Taochun, Zhang, Ji, Luo, Yonglong, Zuo, Kaizhong and Ding, Xintao. 2017. "An efficient and secure itinerary-based data aggregation algorithm for WSNs." 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-17). Sydney, Australia 01 - 04 Aug 2017 United States. https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.268

A recommender system with advanced time series medical data analysis for diabetes patients in a telehealth environment

Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Lin, Jerry Chun-Wei, Chen, Fulong, Luo, Yonglong and Zheng, Xiaoyao. 2018. "A recommender system with advanced time series medical data analysis for diabetes patients in a telehealth environment." Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Gunther and Wagner, Roland R. (ed.) 29th International Conference on Database and Expert Systems Applications (DEXA 2018). Regensburg, Germany 03 - 06 Sep 2018 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-319-98812-2_15

A genetic algorithm based technique for outlier detection with fast convergence

Zhu, Xiaodong, Zhang, Ji, Hu, Zewen, Li, Hongzhou, Chang, Liang, Zhu, Youwen, Lin, Jerry Chun-Wei and Qin, Yongrui. 2018. "A genetic algorithm based technique for outlier detection with fast convergence." Gan, Guojun, Li, Bohan, Li, Xue and Wang, Shuliang (ed.) 14th International Conference on Advanced Data Mining and Applications (ADMA 2018). Nanjing, China 16 - 18 Nov 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-030-05090-0_8

Mining heterogeneous information graph for health status classification

Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhang, Wenping and Cai, Yi. 2018. "Mining heterogeneous information graph for health status classification." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 United States. https://doi.org/10.1109/BESC.2018.8697292

Exploring the use of a network model in drug prescription support for dental clinics

Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Qin, Yongrui, Goh, Elizabeth Zhixin and Hu, Aimin. 2018. "Exploring the use of a network model in drug prescription support for dental clinics." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Piscataway, NJ, United States. https://doi.org/10.1109/BESC.2018.00042

Graph-based multi-label disease prediction model learning from medical data and domain knowledge

Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Li, Yuefeng and Xie, Haoran. 2022. "Graph-based multi-label disease prediction model learning from medical data and domain knowledge." Knowledge-Based Systems. 235, pp. 1-15. https://doi.org/10.1016/j.knosys.2021.107662

Mobile-based learning of drug prescription for medical education using artificial intelligence techniques

Tao, Xiaohui, Goh, Wee Pheng, Zhang, Ji, Yong, Jianming, Goh, Elizabeth Zhixin and Oh, Xueling. 2021. "Mobile-based learning of drug prescription for medical education using artificial intelligence techniques." International Journal of Mobile Learning and Organisation. 15 (4), pp. 392-408. https://doi.org/10.1504/IJMLO.2021.118436

Using Machine Learning to Automate Mammogram Images Analysis

Tang, Xuejiao, Zhang, Liuhua, Zhang, Wenbin, Huang, Xin, Iosifidis, Vasileios, Liu, Zhen, Zhang, Mingli, Messina, Enza and Zhang, Ji. 2021. "Using Machine Learning to Automate Mammogram Images Analysis." Park, Taesung, Cho, Young-Rae, Hu, Xiaohua, Yoo, Illhoi, Woo, Hyun Goo, Wang, Jianxin, Facelli, Julio and Nam, Seungyoon (ed.) 2020 International Conference on Bioinformatics and Biomedicine (BIBM'20). Seoul, South Korea 16 - 19 Dec 2020 Piscataway, United States. https://doi.org/10.1109/BIBM49941.2020.9313247

A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues

Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Zhou, Xujuan, Li, Lin and Cai, Yi. 2021. "A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues." The Computer Journal. 64 (7), pp. 1104-1129. https://doi.org/10.1093/comjnl/bxab065

Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks

Ghimire, Sujan, Yaseen, Zaher Mundher, Farooque, Aitazaz A., Deo, Ravinesh C., Zhang, Ji and Tao, Xiaohui. 2021. "Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks." Scientific Reports. 11, pp. 1-26. https://doi.org/10.1038/s41598-021-96751-4

Extending Graph Pattern Matching with Regular Expressions

Wang, Xin, Wang, Yang, Xu, Yang, Zhang, Ji and Zhong, Xueyan. 2020. "Extending Graph Pattern Matching with Regular Expressions." Hartmann, Sven, Kung, Josef, Kotsis, Gabriele, Tjoa, A Min and Khalil, Ismail (ed.) 31st International Conference on Database and Expert Systems Applications (DEXA 2020). Bratislava, Slovakia 14 - 17 Sep 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-59051-2_8

Bounded Pattern Matching Using Views

Wang, Xin, Wang, Yang, Zhang, Ji and Zhu, Yan. 2020. "Bounded Pattern Matching Using Views." Hartmann, Sven, Kung, Josef, Kotsis, Gabriele, Tjoa, A Min and Khalil, Ismail (ed.) 31st International Conference on Database and Expert Systems Applications (DEXA 2020). Bratislava, Slovakia 14 - 17 Sep 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-59003-1_19

Predicting Workplace Injuries Using Machine Learning Algorithms

Sukumar, Divya, Zhang, Ji, Tao, Xiaohui, Wang, Xin and Zhang, Wenbin. 2020. "Predicting Workplace Injuries Using Machine Learning Algorithms." Webb, Geoff, Zhang, Zhongfei, Tseng, Vincent S., Williams, Graham, Vlachos, Michalis and Cao, Longbing (ed.) 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2020). Sydney, Australia 06 - 09 Oct 2020 Piscataway, United States. https://doi.org/10.1109/DSAA49011.2020.00104

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams

Zhang, Wenbin, Zhang, Mingli, Zhang, Ji, Liu, Zhen, Chen, Zhiyuan, Wang, Jianwu, Raff, Edward and Messina, Enza. 2020. "Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams." Alamaniotis, Miltos and Pan, Shimei (ed.) 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020). Baltimore, United States 09 - 11 Nov 2020 Piscataway, United States. https://doi.org/10.1109/ICTAI50040.2020.00069

User authentication into electronic health record based on reliable lightweight algorithms

Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2021. "User authentication into electronic health record based on reliable lightweight algorithms." Cruz-Cunha, Maria Manuela and Mateus-Coelho, Nuno Ricardo (ed.) Handbook of research on cyber crime and information privacy. United States. IGI Global. pp. 700-738

Locally differentially private distributed algorithms for set intersection and union [Letter]

Xue, Qiao, Zhu, Youwen, Wang, Jian, Li, Xingxin and Zhang, Ji. 2020. "Locally differentially private distributed algorithms for set intersection and union [Letter]." Science China Information Sciences. https://doi.org/10.1007/s11432-018-9899-8

Proof Learning in PVS with Utility Pattern Mining

Nawaz, M. Saqib, Fournier-Viger, Philippe and Zhang, Ji. 2020. "Proof Learning in PVS with Utility Pattern Mining." IEEE Access. 8, pp. 119806-119818. https://doi.org/10.1109/ACCESS.2020.3004199

Deep interest shifting network with meta embeddings for fresh item recommendation

Li, Zhao, Wang, Haobo, Ding, Donghui, Hu, Shichang, Zhang, Zhen, Liu, Weiwei, Gao, Jianliang, Zhang, Zhiqiang and Zhang, Ji. 2020. "Deep interest shifting network with meta embeddings for fresh item recommendation." Complexity. https://doi.org/10.1155/2020/8828087

A novel multi-objective and multi-constraint route recommendation method based on crowd sensing

Zheng, Xiaoyao, Luo, Yonglong, Sun, Liping, Yu, Qingying, Zhang, Ji and Chen, Siguang. 2021. "A novel multi-objective and multi-constraint route recommendation method based on crowd sensing." Applied Sciences. 11 (21). https://doi.org/10.3390/app112110497

An efficient chain structure to mine high-utility sequential patterns

Lin, Jerry Chun-Wei, Li, Yuanfa, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2019. "An efficient chain structure to mine high-utility sequential patterns." 19th IEEE International Conference on Data Mining Workshops (ICDMW 2019). Beijing, China 08 - 11 Nov 2019 https://doi.org/10.1109/ICDMW.2019.00146

Identification of stress impact on personality density distributions

Lys, Brendan, Tao, Xiaohui, Machin, Tony, Zhang, Ji and Zhong, Ning. 2019. "Identification of stress impact on personality density distributions." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-030-37078-7_26

SLIND: identifying stable links in online social networks

Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Zheng, Xiaoyao, Luo, Yonglong and Lin, Jerry Chun-Wei. 2018. "SLIND: identifying stable links in online social networks." Pei, Jian, Sadiq, Shazia, Manolopoulos, Yannis and Li, Jianxin (ed.) 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018). Gold Coast, Australia 21 - 24 May 2018 Switzerland. https://doi.org/10.1007/978-3-319-91458-9_54

Anonymization of multiple and personalized sensitive attributes

Lin, Jerry Chun-Wei, Liu, Qiankun, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2018. "Anonymization of multiple and personalized sensitive attributes." Ordonez, Carlos and Bellatreche, Ladjel (ed.) 20th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2018). Regensburg, Germany 03 - 06 Sep 2018 Cham, Switzerland. https://doi.org/10.1007/978-3-319-98539-8_16

The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA)

Zhou, Xiangmin, Zhang, Ji and Zhang, Yanchun. 2019. "The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA)." 12th ACM International Conference on Web Search and Data Mining (WSDM 2019). Melbourne, Australia 11 - 15 Feb 2019 New York, United States. https://doi.org/10.1145/3289600.3291372

PPSF: an open-source privacy-preserving and security mining framework

Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Wu, Lintai, Gan, Wensheng, Djenouri, Youcef and Zhang, Ji. 2018. "PPSF: an open-source privacy-preserving and security mining framework." Tong, Hanghang, Li, Zhenhui (Jessie), Zhu, Feida and Yu, Jeffrey (ed.) 18th IEEE International Conference on Data Mining Workshops (ICDMW 2018). Singapore 17 - 20 Nov 2018 New York, United States. https://doi.org/10.1109/ICDMW.2018.00208

Feature-Based Learning in Drug Prescription System for Medical Clinics

Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Feature-Based Learning in Drug Prescription System for Medical Clinics." Neural Processing Letters. 52, pp. 1703-1721. https://doi.org/10.1007/s11063-020-10296-7

A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment

Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Diykh, Mohammed and Lin, Jerry Chun-Wei. 2018. "A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment." Roy, Sanjiban Sekhar, Samui, Pijushi, Deo, Ravinesh and Ntalampiras, Stalampiras (ed.) Big data in engineering applications. Singapore. Springer. pp. 363-384

Enhanced sequence labeling based on latent variable conditional random fields

Lin, Jerry Chun-Wei, Shao, Yinan, Zhang, Ji and Yun, Unil. 2020. "Enhanced sequence labeling based on latent variable conditional random fields." Neurocomputing. 403, pp. 431-440. https://doi.org/10.1016/j.neucom.2020.04.102

SLIND+: stable LINk detection

Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Li, Hongzhou, Chen, Fulong and Luo, Yonglong. 2020. "SLIND+: stable LINk detection." Hou U, Leong, Yang, Jian, Cai, Yi, Karlapalem, Kamalakar, Liu, An and Huang, Xin (ed.) 20th International Conference on Web Information Systems Engineering (WISE 2019): Workshop, Demo and Tutorial. Hong Kong, China 19 - 22 Jan 2020 Singapore. https://doi.org/10.1007/978-981-15-3281-8_8

A novel differential privacy recommendation method based on distributed framework

Zheng, Xiaoyao, Luo, Yonglong, Zhang, Ji, Sun, Liping and Chen, Fulong. 2018. "A novel differential privacy recommendation method based on distributed framework." Tong, Hanghang, Li, Zhenhui (Jessie), Zhu, Feida and Yu, Jeffrey (ed.) 2018 Workshop on Scalable and Applicable Recommendation Systems (SAREC 2018), in conjunction with the 18th IEEE International Conference on Data Mining (ICDM 2018). Singapore 17 - 20 Nov 2018 Los Alamitos, California. https://doi.org/10.1109/ICDMW.2018.00189

Mining health knowledge graph for health risk prediction

Tao, Xiaohui, Pham, Thuan, Zhang, Ji, Yong, Jianming, Goh, Wee Pheng, Zhang, Wenping and Cai, Yi. 2020. "Mining health knowledge graph for health risk prediction." World Wide Web. 23 (4), pp. 2341-2362. https://doi.org/10.1007/s11280-020-00810-1

REISCH: incorporating lightweight and reliable algorithms into healthcare applications of WSNs

Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2020. "REISCH: incorporating lightweight and reliable algorithms into healthcare applications of WSNs." Applied Sciences. 10 (6), pp. 1-36. https://doi.org/10.3390/app10062007

Constructing a knowledge-based heterogeneous information graph for medical health status classification

Pham, Thuan, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Constructing a knowledge-based heterogeneous information graph for medical health status classification." Health Information Science and Systems. 8 (1). https://doi.org/10.1007/s13755-020-0100-6

Relational intelligence recognition in online social networks - a survey

Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Pham, Thuan and Chen, Bing. 2020. "Relational intelligence recognition in online social networks - a survey." Computer Science Review. 35. https://doi.org/10.1016/j.cosrev.2019.100221

A general extensible learning approach for multi-disease recommendations in a telehealth environment

Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Zhu, Xiaodong, Li, Hongzhou, Chang, Liang and Deo, Ravinesh. 2020. "A general extensible learning approach for multi-disease recommendations in a telehealth environment ." Pattern Recognition Letters. 132, pp. 106-114. https://doi.org/10.1016/j.patrec.2018.11.006

Efficient chain structure for high-utility sequential pattern mining

Lin, Jerry Chun-Wei, Li, Yuanfa, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2020. "Efficient chain structure for high-utility sequential pattern mining." IEEE Access. 8, pp. 40714-40722. https://doi.org/10.1109/ACCESS.2020.2976662

FRIOD: a deeply integrated feature-rich interactive system for effective and efficient outlier detection

Zhu, Xiaodong, Zhang, Ji, Li, Hongzhou, Fournier-Viger, Philippe, Lin, Jerry Chun-Wei and Chang, Liang. 2017. "FRIOD: a deeply integrated feature-rich interactive system for effective and efficient outlier detection." IEEE Access. 5, pp. 25682-25695. https://doi.org/10.1109/ACCESS.2017.2771237

Mining of high average-utility patterns with item-level thresholds

Lin, Jerry Chun-Wei, Li, Ting, Fournier-Viger, Philippe, Zhang, Ji and Guo, Xiangmin. 2019. "Mining of high average-utility patterns with item-level thresholds." Journal of Internet Technology. 20 (1), pp. 187-194. https://doi.org/10.3966/160792642019012001017

High average-utility sequential pattern mining based on uncertain databases

Lin, Jerry Chun-Wei, Li, Ting, Pirouz, Matin, Zhang, Ji and Fournier-Viger, Philippe. 2020. "High average-utility sequential pattern mining based on uncertain databases." Knowledge and Information Systems. 62 (3), pp. 1199-1228. https://doi.org/10.1007/s10115-019-01385-8

Efficient and secure multi-dimensional geometric range query over encrypted data in cloud

Li, Xingxin, Zhu, Youwen, Wang, Jian and Zhang, Ji. 2019. "Efficient and secure multi-dimensional geometric range query over encrypted data in cloud." Journal of Parallel and Distributed Computing. 131, pp. 44-54. https://doi.org/10.1016/j.jpdc.2019.04.015

Knowledge graph embedding by dynamic translation

Chang, Liang, Zhu, Manli, Gu, Tianlong, Bin, Chenzhong, Qian, Junyan and Zhang, Ji. 2017. "Knowledge graph embedding by dynamic translation." IEEE Access. 5 (3), pp. 20898-20907. https://doi.org/10.1109/ACCESS.2017.2759139

PAX: using pseudonymization and anonymization to protect patients’ identities and data in the healthcare system

Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2019. "PAX: using pseudonymization and anonymization to protect patients’ identities and data in the healthcare system." International Journal of Environmental Research and Public Health. 16 (1490), pp. 1-36. https://doi.org/10.3390/ijerph16091490

Efﬁcient and secure ECDSA algorithm and its applications: a survey

Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2019. "Efﬁcient and secure ECDSA algorithm and its applications: a survey." International Journal of Communication Networks and Information Security. 11 (1), pp. 7-35.

A two-phase approach to mine short-periodic high utility itemsets in transactional databases

Lin, Jerry Chun-Wei, Zhang, Jiexiong, Fournier-Viger, Philippe, Hong, Tzung-Pei and Zhang, Ji. 2017. "A two-phase approach to mine short-periodic high utility itemsets in transactional databases." Advanced Engineering Informatics: the science of supporting knowledge-intensive activities. 33, pp. 29-43. https://doi.org/10.1016/j.aei.2017.04.007

RAMHU: A new robust lightweight scheme for mutual users authentication in healthcare applications

Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2019. "RAMHU: A new robust lightweight scheme for mutual users authentication in healthcare applications." Security and Communication Networks. 2019, pp. 1-26. https://doi.org/10.1155/2019/3263902

A novel social network hybrid recommender system based on hypergraph topologic structure

Zheng, Xiaoyao, Luo, Yonglong, Sun, Liping, Ding, Xintao and Zhang, Ji. 2018. "A novel social network hybrid recommender system based on hypergraph topologic structure." World Wide Web. 21 (4), pp. 985-1013. https://doi.org/10.1007/s11280-017-0494-5

Exploiting highly qualified pattern with frequency and weight occupancy

Gan, Wensheng, Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Chao, Han-Chieh, Zhan, Justin and Zhang, Ji. 2018. "Exploiting highly qualified pattern with frequency and weight occupancy." Knowledge and Information Systems. 56 (1), pp. 165-196. https://doi.org/10.1007/s10115-017-1103-8

An infrastructure framework for privacy protection of community medical internet of things - transmission protection, storage protection and access control

Chen, Fulong, Luo, Yonglong, Zhang, Ji, Zhu, Junru, Zhang, Ziyang, Zhao, Chuanxin and Wang, Taochun. 2018. "An infrastructure framework for privacy protection of community medical internet of things - transmission protection, storage protection and access control." World Wide Web. 21 (1), pp. 33-57. https://doi.org/10.1007/s11280-017-0455-z

A tourism destination recommender system using users' sentiment and temporal dynamics

Zheng, Xiaoyao, Luo, Yonglong, Sun, Liping, Zhang, Ji and Chen, Fulong. 2018. "A tourism destination recommender system using users' sentiment and temporal dynamics." Journal of Intelligent Information Systems. 51 (3), pp. 557-578. https://doi.org/10.1007/s10844-018-0496-5

On relational learning and discovery in social networks: a survey

Zhang, Ji, Tan, Leonard and Tao, Xiaohui. 2018. "On relational learning and discovery in social networks: a survey." International Journal of Machine Learning and Cybernetics. 10 (8), pp. 2085-2102. https://doi.org/10.1007/s13042-018-0823-8

Drug prescription support in dental clinics through drug corpus mining

Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhang, Wenping and Xie, Haoran. 2018. "Drug prescription support in dental clinics through drug corpus mining." International Journal of Data Science and Analytics. 6 (4), pp. 341-349. https://doi.org/10.1007/s41060-018-0149-3

Mining drug properties for decision support in dental clinics

Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2017. "Mining drug properties for decision support in dental clinics." Kim, J., Shim, K., Cao, L., Lee, J., Lin, X. and Moon, Y. (ed.) 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017). Jeju, South Korea 23 - 26 May 2017 Germany. Springer. https://doi.org/10.1007/978-3-319-57529-2_30

Coupling topic modelling in opinion mining for social media analysis

Zhou, Xujuan, Tao, Xiaohui, Rahman, Md Mostafijur and Zhang, Ji. 2017. "Coupling topic modelling in opinion mining for social media analysis." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States. https://doi.org/10.1145/3106426.3106459

A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset

Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Abbas, Wessam, Luo, Yonglong, Chen, Fulong and Tseng, Vincent S.. 2017. "A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset." Kim, Jinho, Shim, Kyuseok, Cao, Longbing, Lee, Jae-Gil, Lin, Xuemin and Moon, Yang-Sae (ed.) 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017). Jeju, South Korea 23 - 26 May 2017 Switzerland. Springer. https://doi.org/10.1007/978-3-319-57454-7_51

A survey of itemset mining

Fournier-Viger, Philippe, Lin, Jerry Chun-Wei, Vo, Bay, Chi, Tin Truong, Zhang, Ji and Le, Hoai Bac. 2017. "A survey of itemset mining." WIREs Data Mining and Knowledge Discovery. 7 (4). https://doi.org/10.1002/widm.1207

Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment

Zhang, Ji, Lafta, Raid, Tao, Xiaohui, Li, Yan, Chen, Fulong, Luo, Yonglong and Zhu, Xiaodong. 2017. "Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment." IEEE Access. 5 (1), pp. 10674-10685. https://doi.org/10.1109/ACCESS.2017.2706318

Detecting global outliers from large distributed databases

Zhang, Ji, Cao, Jie and Zhu, Xiaodong. 2012. "Detecting global outliers from large distributed databases." Liu, Yanbing, Yue, Shigang, Leung, Frank H. F., Zhao, Guofeng and Wang, Lipo (ed.) 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012). Chongqing, China 29 - 31 May 2012 Piscataway, NJ. United States. https://doi.org/10.1109/FSKD.2012.6233948

Fast local neighborhood search algorithm for the no-wait flow shop scheduling with total flow time minimization

Qi, Xuemei, Wang, Hongtao, Zhu, Haihong, Zhang, Ji, Chen, Fulong and Yang, Jie. 2016. "Fast local neighborhood search algorithm for the no-wait flow shop scheduling with total flow time minimization." International Journal of Production Research. 54 (16), pp. 4957-4972. https://doi.org/10.1080/00207543.2016.1150615

GO-PEAS: a scalable yet accurate grid-based outlier detection method using novel pruning searching techniques

Li, Hongzhou, Zhang, Ji, Luo, Yonglong, Chen, Fulong and Chang, Liang. 2016. "GO-PEAS: a scalable yet accurate grid-based outlier detection method using novel pruning searching techniques." Ray, T., Sarker, R. and Li, X. (ed.) 2nd Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016). Canberra, Australia 02 - 05 Feb 2016 Switzerland. Springer. https://doi.org/10.1007/978-3-319-28270-1_11

Settlement analyses of underground circular tunneling in soft clay

Shiau, J. S., Sams, M. S., Zhang, J. and Kemp, R. J.. 2014. "Settlement analyses of underground circular tunneling in soft clay." Yoo, Chungsik, Park, Seong-Wan, Kim, Bumjoo and Ban, Hoki (ed.) 8th International Symposium on Geotechnical Aspects of Underground Construction in Soft Ground (TC204 ISSMGE IS-SEOUL 2014). Seoul, Korea 25 - 27 Aug 2014 Netherlands. https://doi.org/10.1201/b17240-63

IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment

Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan and Tseng, Vincent S.. 2016. "IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment." Li, Jinyan, Li, Xue, Wang, Shuliang, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_58

Positive Influence Dominating Set Games

Wang, Guangyuan, Wang, Hua, Tao, Xiaohui, Zhang, Ji, Yi, Xun and Yong, Jianming. 2014. "Positive Influence Dominating Set Games." Hou, Jiang-Liang, Trappey, Amy J. C., Wu, Chien-Wei, Chang, Kuo-Hao, Liao, Chuing-Shou, Shen, Wei-Ming, Barthes, Jean-Paul and Luo, Jun-Zhou (ed.) 18th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2014). Hsinchu, Taiwan 21 - 23 May 2014 United States. https://doi.org/10.1109/CSCWD.2014.6846890

PFrauDetector: a parallelized graph mining approach for efficient fraudulent phone call detection

Ying, Josh Jia-Ching, Zhang, Ji, Huang, Che-Wei, Chen, Kuan-Ta and Tseng, Vincent S.. 2016. "PFrauDetector: a parallelized graph mining approach for efficient fraudulent phone call detection." 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS 2016). Wuhan, China 13 - 16 Dec 2016 United States. https://doi.org/10.1109/ICPADS.2016.0140

NSSSD: a new semantic hierarchical storage for sensor data

Gheisari, Mehdi, Movassagh, Ali Akbar, Qin, Yongrui, Yong, Jianming, Tao, Xiaohui, Zhang, Ji and Shen, Haifeng. 2016. "NSSSD: a new semantic hierarchical storage for sensor data." 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016). Nanchang, China 04 - 06 May 2016 United States. https://doi.org/10.1109/CSCWD.2016.7565984

Adopting hybrid descriptors to recognise leaf images for automatic plant specie identification

Al-kharaz, Ali A., Tao, Xiaohui, Zhang, Ji and Lafta, Raid. 2016. "Adopting hybrid descriptors to recognise leaf images for automatic plant specie identification." Li, Jinyan, Li, Xue, Wang, Shuliang, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_15

Sentiment analysis for depression detection on social networks

Tao, Xiaohui, Zhou, Xujuan, Zhang, Ji and Yong, Jianming. 2016. "Sentiment analysis for depression detection on social networks." Li, Jinyan, Li, Xue, Wang, Xue, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_59

Anonymity-based privacy preserving network data publication

Liu, Peng, Li, Yidong, Sang, Yingpeng and Zhang, Ji. 2016. "Anonymity-based privacy preserving network data publication." 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2016). Tianjin, China 23 - 26 Aug 2016 Los Alamitos, CA. United States. https://doi.org/10.1109/TrustCom.2016.0144

An intelligent recommender system based on predictive analysis in telehealthcare environment

Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Tseng, Vincent S., Luo, Yonglong and Chen, Fulong. 2016. "An intelligent recommender system based on predictive analysis in telehealthcare environment." Web Intelligence. 14 (4), pp. 325-336. https://doi.org/10.3233/WEB-160348

An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients

Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan and Tseng, Vincent S.. 2015. "An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients." 4th International Workshop on Web Personalization, Recommender Systems and Social Media (WPRSM2015), Joint with WI-IAT 2015. Singapore 06 - 09 Dec 2015 Singapore. https://doi.org/10.1109/WI-IAT.2015.47

A study of drug interaction for personalised decision support in dental clinics

Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2015. "A study of drug interaction for personalised decision support in dental clinics." 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015). Singapore 06 - 09 Dec 2015 https://doi.org/10.1109/WI-IAT.2015.28

Efficient Algorithms for Scheduling XML Data in a Mobile Wireless Broadcast Environment

Qin, Yongrui, Wang, Hua, Zhang, Ji, Tao, Xiaohui, Zhang, Wei Emma, Taylor, Kerry and Sheng, Quan Z.. 2015. "Efficient Algorithms for Scheduling XML Data in a Mobile Wireless Broadcast Environment." 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS 2015). Melbourne, Australia 14 - 17 Dec 2015 Australia. https://doi.org/10.1109/ICPADS.2015.96

Decision support systems for adoption in dental clinics: a survey

Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2016. "Decision support systems for adoption in dental clinics: a survey." Knowledge-Based Systems. 104, pp. 195-206. https://doi.org/10.1016/j.knosys.2016.04.022

A standardized design methodology for complex digital logic components of cyber-physical systems

Chen, F., Ye, H., Yang, J., Huang, Y., Zhang, J., Qi, X., Zhao, C., Zhu, J. and Zhou, W.. 2015. "A standardized design methodology for complex digital logic components of cyber-physical systems." Microprocessors and Microsystems. 39 (8), pp. 1245-1254. https://doi.org/10.1016/j.micpro.2015.08.012

Explore interregional EEG correlations changed by sport training using feature selection

Gao, Jia, Wang, Wei and Zhang, Ji. 2016. "Explore interregional EEG correlations changed by sport training using feature selection." Computational Intelligence and Neuroscience. 2016. https://doi.org/10.1155/2016/6184823

On efficient and robust anonymization for privacy protection on massive streaming categorical information

Zhang, Ji, Li, Hongzhou, Liu, Xuemei, Luo, Yonglong, Chen, Fulong, Wang, Hua and Chang, Liang. 2017. "On efficient and robust anonymization for privacy protection on massive streaming categorical information." IEEE Transactions on Dependable and Secure Computing. 14 (5), pp. 507-520. https://doi.org/10.1109/TDSC.2015.2483503

Finding weighted positive influence dominating set to make impact to negatives: a study on online social networks in the new millennium

Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2014. "Finding weighted positive influence dominating set to make impact to negatives: a study on online social networks in the new millennium." Kaur, Harleen and Tao, Xiaohui (ed.) ICTs and the millennium development goals: a United Nations perspective. New York, NY. United States. Springer. pp. 67-81

A novel artificial immune algorithm for spatial clustering with obstacle constraint and its applications

Sun, Liping, Luo, Yonglong, Ding, Xintao and Zhang, Ji. 2014. "A novel artificial immune algorithm for spatial clustering with obstacle constraint and its applications." Computational Intelligence and Neuroscience. 2014. https://doi.org/10.1155/2014/160730

A dynamic subspace anomaly detection method using generic algorithm for streaming network data

Zhang, Ji and Li, Hongzhou. 2015. "A dynamic subspace anomaly detection method using generic algorithm for streaming network data." Gupta, Manish (ed.) Handbook of research on emerging developments in data privacy. Hershey, PA. United States. IGI Global. pp. 403-425

Detecting anomalies from big network traffic data using an adaptive detection approach

Zhang, Ji, Li, Hongzhou, Gao, Qigang, Wang, Hai and Luo, Yonglong. 2015. "Detecting anomalies from big network traffic data using an adaptive detection approach." Information Sciences. 318, pp. 91-110. https://doi.org/10.1016/j.ins.2014.07.044

Energy effective congestion control for multicast with network coding in wireless ad hoc network

Zhao, Chuanxin, Luo, Yonglong, Chen, Fulong, Zhang, Ji and Wang, Ruchuan. 2014. "Energy effective congestion control for multicast with network coding in wireless ad hoc network." Mathematical Problems in Engineering. https://doi.org/10.1155/2014/135945

Telemedicine and Telemonitoring in Healthcare

Alsgaer, Salmah F. A., Tao, Xiaohui, Zhang, Ji, Wang, Hua and Guo, Zhi. 2013. "Telemedicine and Telemonitoring in Healthcare." Imamura, Kazayuki, Usui, Shiro and Shirao, Tomoaki (ed.) 2013 International Conference on Brain and Health Informatics (BHI 2013). Maebashi, Japan 29 - 31 Oct 2013 Germany. https://doi.org/10.1007/978-3-319-02753-1_20

SIMS: Self-adaptive Intelligent Monitoring System for supporting home-based heart failure patients

Wang, Hua, Zhang, Ji, Soar, Jeffrey, Tao, Xiaohui and Huang, Wei. 2013. "SIMS: Self-adaptive Intelligent Monitoring System for supporting home-based heart failure patients." Biswas, Jit, Kobayashi, Hisato, Wong, Lawrence, Abdulrazak, Bessam and Mokhtari, Mounir (ed.) 11th International Conference on Smart Homes and Health Telematics (ICOST 2013): Inclusive Society: Health and Wellbeing in Ageing-Friendly Community: eHealth, Telemedicine, Chronic Disease Management and Care at Home. Singapore 19 - 21 Jun 2013 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-39470-6_43

Minimising k-dominating set in arbitrary network graphs

Wang, Guangyuan, Wang, Hua, Tao, Xiaohui, Zhang, Ji and Zhang, Jinhua. 2013. "Minimising k-dominating set in arbitrary network graphs." Motoda, Hiroshi, Wu, Zhaohui, Cao, Longbing, Zaiane, Osmar, Yao, Min and Wang, Wei (ed.) 9th International Conference on Advanced Data Mining and Applications (ADMA 2013). Hangzhou, China 14 - 16 Dec 2013 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-53917-6_11

An efficient and robust privacy protection technique for massive streaming choice-based information

Zhang, Ji, Liu, Xuemei and Luo, Yonglong. 2013. "An efficient and robust privacy protection technique for massive streaming choice-based information." He, Qi and Iyengar, Arun (ed.) 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013). San Francisco, United States 27 Oct - 01 Nov 2013 New York, NY. United States. https://doi.org/10.1145/2505515.2507816

SODIT: An innovative system for outlier detection using multiple localized thresholding and interactive feedback

Zhang, Ji, Wang, Hua, Tao, Xiaohui and Sun, Lili. 2013. "SODIT: An innovative system for outlier detection using multiple localized thresholding and interactive feedback." 29th IEEE International Conference on Data Engineering (ICDE 2013). Brisbane, Australia 08 - 11 Apr 2013 Piscataway, NJ. United States. https://doi.org/10.1109/ICDE.2013.6544945

Finding a weighted positive influence dominating set in e-learning social networks

Wang, Guangyuan, Wang, Hua, Tao, Xiaohui, Zhang, Ji and Zhu, Guohun. 2013. "Finding a weighted positive influence dominating set in e-learning social networks." International Journal of Computers and Technology. 10 (10), pp. 2136-2145.

A self-stabilizing algorithm for finding a minimal positive influence dominating set in social networks

Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2013. "A self-stabilizing algorithm for finding a minimal positive influence dominating set in social networks." Wang, Hua and Zhang, Rui (ed.) 24th Australasian Database Conference (ADC 2013). Adelaide, Australia 29 Jan - 01 Feb 2013 Sydney, Australia.

Mapping semantic knowledge for unsupervised text categorisation

Tao, Xiaohui, Li, Yuefeng, Zhang, Ji and Yong, Jianming. 2013. "Mapping semantic knowledge for unsupervised text categorisation." Wang, Hua and Rui, Zhang (ed.) 24th Australasian Database Conference (ADC 2013). Adelaide, Australia 29 Jan - 01 Feb 2013 Sydney, Australia.

Outlier detection from large distributed databases

Zhang, Ji, Wang, Hua and Tao, Xiaohui. 2014. "Outlier detection from large distributed databases." World Wide Web. 17 (4), pp. 539-568. https://doi.org/10.1007/s11280-013-0218-4

A Self-Stabilizing Protocol for Minimal Weighted Dominating Sets in Arbitrary Networks

Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2013. "A Self-Stabilizing Protocol for Minimal Weighted Dominating Sets in Arbitrary Networks." Shen, Weiming, Li, Weidong, Barthes, Jean-Paul, Luo, Junzhou, Zhu, Haibin, Yong, Jianming and Li, Xiaoping (ed.) IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013). Whistler, Canada 27 - 29 Jun 2013 United States. https://doi.org/10.1109/CSCWD.2013.6581012

Advancements of outlier detection: a survey

Zhang, Ji. 2013. "Advancements of outlier detection: a survey." ICST Transactions on Scalable Information Systems. 13 (1), pp. 1-26. https://doi.org/10.4108/trans.sis.2013.01-03.e2

An innovative outlier detection method using localized thresholds

Zhang, Ji, Cao, Jie and Zhu, Xiaodong. 2012. "An innovative outlier detection method using localized thresholds." Data and Knowledge Engineering. https://doi.org/10.1007/978-3-642-34679-8-7

Efficient and effective filtering of duplication detection in large database applications

Zhang, Ji. 2012. "Efficient and effective filtering of duplication detection in large database applications." Journal of Software. 7 (11), pp. 2424-2436. https://doi.org/10.4304/jsw.7.11.2424-2436

A self-stabilizing algorithm for finding a minimal K-dominating set in general networks

Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2012. "A self-stabilizing algorithm for finding a minimal K-dominating set in general networks." Xiang, Yang, Pathan, Mukaddim, Tao, Xiaohui and Wan g, Hua (ed.) 3rd International Conference on Data and Knowledge Engineering (ICDKE 2012). Fujian, China 21 - 23 Nov 2012 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-34679-8_8

Optimal timepoint sampling in high-throughput gene expression experiments

Rosa, Bruce A., Zhang, Ji, Major, Ian T., Qin, Wensheng and Chen, Jin. 2012. "Optimal timepoint sampling in high-throughput gene expression experiments." Bioinformatics. 28 (21), pp. 2773-2781. https://doi.org/10.1093/bioinformatics/bts511

Positive influence dominating set in e-learning social networks

Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2011. "Positive influence dominating set in e-learning social networks." Leung, H., Popescu, E., Cao, Y., Lau, R. W. H. and Nejdl, W. (ed.) 10th International Conference on Web-Based Learning (ICWL 2011): Advances in Web-Based Learning. Hong Kong, China 08 - 10 Dec 2011 Berlin, Germany. https://doi.org/10.1007/978-3-642-25813-8_9

A process provenance service system for scientific data analysis and sharing

Liu, Qing, Zhang, Ji, Forbes, James, Xu, Kai and Nair, Dinesh. 2011. "A process provenance service system for scientific data analysis and sharing." Zhang, Ji and Livraga, Gionvanni (ed.) 2nd International Conference on Data and Knowledge Engineering (ICDKE 2011). Milan, Italy 06 - 08 Sep 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICDKE.2011.6053921

Privacy aware access control with trust management in web service

Li, Min, Sun, Xiaoxun, Wang, Hua, Zhang, Yanchun and Zhang, Ji. 2011. "Privacy aware access control with trust management in web service." World Wide Web. 14 (4), pp. 407-430. https://doi.org/10.1007/s11280-011-0114-8

DISTRO: a system for detecting global outliers from distributed data streams with privacy protection

Zhang, Ji, Dekeyser, Stijn, Wang, Hua and Shu, Yanfeng. 2010. "DISTRO: a system for detecting global outliers from distributed data streams with privacy protection." Kitagawa, Hiroyuki, Ishikawa, Yoshiharu, Li, Qing and Watanabe, Chiemi (ed.) DASFAA 2010: 15th International Conference on Database Systems for Advanced Applications. Tsukuba, Japan 01 - 04 Apr 2010 Germany. Springer. https://doi.org/10.1007/978-3-642-12098-5_54

On memory and I/O efficient duplication detection for multiple self-clean data sources

Zhang, Ji, Shu, Yanfeng and Wang, Hua. 2010. "On memory and I/O efficient duplication detection for multiple self-clean data sources." Yoshikawa, M. (ed.) DASFAA 2010: 15th International Conference on Database Systems for Advanced Applications. Tsukuba, Japan 01 - 04 Apr 2010 Germany. Springer. https://doi.org/10.1007/978-3-642-14589-6_14

An information-driven framework for image mining

Zhang, Ji, Hsu, Wynne and Lee, Mong Li. 2001. "An information-driven framework for image mining." Mayr, Heinrich C., Lazansky, Jiri, Quirchmayr, Gerald and Vogel, Pavel (ed.) 12th International Conference on Database and Expert Systems Applications (DEXA'01). Munich, Germany 03 - 05 Sep 2001 Germany. Springer. https://doi.org/10.1007/3-540-44759-8_24

Building XML data warehouse based on frequent patterns in user queries

Zhang, Ji, Ling, Tok Wang, Bruckner, Robert and Tjoa, A. Min. 2003. "Building XML data warehouse based on frequent patterns in user queries." Kambayahsi, Yahiko, Mohania, Mukesh K. and Wob, Wolfram (ed.) 5th International Conference on Data Warehousing and Knowledge Discovery (DaWaK'03). Prague, Czech Republic 03 - 05 Sep 2003 Germany. Springer. https://doi.org/10.1007/978-3-540-45228-7_11

On efficient and effective association rule mining from XML data

Zhang, Ji, Ling, Tok Wang, Bruckner, Robert, Tjoa, A. Min and Liu, Han. 2004. "On efficient and effective association rule mining from XML data." Galindo, Fernando, Takizawa, Makoto and Traunmuller, Roland (ed.) 15th International Conference on Database and Expert Systems Applications (DEXA'04). Zaragoza, Spain 30 Aug - 03 Sep 2004 Germany. Springer. https://doi.org/10.1007/978-3-540-30075-5_48

Gene specific co-regulation discovery: an improved approach

Zhang, Ji, Liu, Qing and Xu, Kai. 2009. "Gene specific co-regulation discovery: an improved approach." Allen, G., Nabrzyski, J., Seidel, E., van Albada, G. D., Dongarra, J. and Sloot, P. M. A. (ed.) 2009 International Conference on Computational Science (ICCS 2009): Compute. Discover. Innovate.. Baton Rouge, United States of America 25 - 27 May 2009 Germany. Springer.

Detecting projected outliers in high-dimensional data streams

Zhang, Ji, Gao, Qigang, Wang, Hai, Liu, Qing and Xu, Kai. 2009. "Detecting projected outliers in high-dimensional data streams." Bhowmick, Sourav S., Kung, Josef and Wagner, Roland (ed.) 20th International Conference on Database and Expert Systems Applications (DEXA 2009). Linz, Austria 31 Aug - 04 Sep 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-03573-9_53

Web service management system for bioinformatics research: a case study

Xu, Kai, Yu, Qi, Liu, Qing, Zhang, Ji and Bouguettaya, Athman. 2011. "Web service management system for bioinformatics research: a case study." Service Oriented Computing and Applications. 5 (1), pp. 1-15. https://doi.org/10.1007/s11761-011-0076-9

Detecting anomalies from high-dimensional wireless network data streams: a case study

Zhang, Ji, Gao, Qigang, Wang, Hai and Wang, Hua. 2011. "Detecting anomalies from high-dimensional wireless network data streams: a case study." Soft Computing. 15 (6), pp. 1195-1215. https://doi.org/10.1007/s00500-010-0575-1

Privacy-preserving protocols for string matching

Luo, Yonglong, Shi, Lei, Zhang, Caiyun and Zhang, Ji. 2010. "Privacy-preserving protocols for string matching." Xiang, Yang, Samarati, Pierangela, Hu, Jiankun, Zhou, Wanlei and Sadeghi, Ahmad-Reza (ed.) NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Piscataway, NJ. United States. https://doi.org/10.1109/NSS.2010.24

An efficient and effective duplication detection method in large database applications

Zhang, Ji. 2010. "An efficient and effective duplication detection method in large database applications." Xiang, Yang, Samarati, Pierangela, Hu, Jiankun, Zhou, Wanlei and Sadeghi, Ahmad-Reza (ed.) NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Los Alamitos, CA. United States. https://doi.org/10.1109/NSS.2010.78

A web-based interactive data visualization system for outlier subspace analysis

Liu, Dong, Gao, Qigang, Wang, Hai and Zhang, Ji. 2010. "A web-based interactive data visualization system for outlier subspace analysis." Debnath, Narayan (ed.) SEDE 2010: 19th International Conference on Software Engineering and Data Engineering. San Francisco, United States 16 - 18 Jun 2010 Cary, NC. United States.

Semi-bipartite graph visualization for gene ontology networks

Xu, Kai, Williams, Rohan, Hong, Seok-Hee, Liu, Qing and Zhang, Ji. 2010. "Semi-bipartite graph visualization for gene ontology networks." Eppstein, D. and Gansner, E. R. (ed.) GD 2009: 17th International Symposium on Graph Drawing. Chicago, United States 22 - 25 Sep 2009 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-11805-0_24

FlowRecommender: a workflow recommendation technique for process provenance

Zhang, Ji, Liu, Qing and Xu, Kai. 2009. "FlowRecommender: a workflow recommendation technique for process provenance." Kennedy, Paul J., Ong, Kok-Leong and Christen, Peter (ed.) 8th Australasian Data Mining Conference (AusDM 2009): Data Mining and Analytics. Melbourne, Australia 01 - 04 Dec 2009 Melbourne, Australia.

Image mining: issues, frameworks and techniques

Zhang, Ji, Hsu, Wynne and Lee, Mong Li. 2001. "Image mining: issues, frameworks and techniques." Zaïane, Osmar R. and Simoff, Simeon J. (ed.) 2nd ACM SIGKDD International Workshop on Multimedia Data Mining (MDM/KDD'01). San Francisco, USA 26 Aug 2001 Canada.

HOS-Miner: a system for detecting outlying subspaces of high-dimensional data

Zhang, Ji, Lou, Meng, Ling, Tok Wang and Wang, Hai. 2004. "HOS-Miner: a system for detecting outlying subspaces of high-dimensional data." Nascimento, Mario A., Özsu, M. Tamer, Kossmann, Donald, Miller, Renee J., Blakeley, Jose A. and Schiefer, K. Bernhard (ed.) 30th International Conference on Very Large Data Bases (VLDB'04). Toronto, Canada 31 Aug - 03 Sep 2004 San Francisco, California, United States.

Detecting outlying subspaces for high-dimensional data: the new task, algorithms and performance

Zhang, Ji and Wang, Hai. 2006. "Detecting outlying subspaces for high-dimensional data: the new task, algorithms and performance." Knowledge and Information Systems. 10 (3), pp. 333-355.

Outlier detection for high-dimensional data streams

Zhang, Ji, Gao, Qigang and Wang, Hai. 2007. "Outlier detection for high-dimensional data streams." 5th Dalhousie Computer Science In-house Conference (DCSI'07). Halifax, Canada 05 Apr 2007 Halifax, Nova Scotia, Canada.

D-GridMST: clustering large distributed spatial databases

Zhang, Ji and Liu, Han. 2005. "D-GridMST: clustering large distributed spatial databases." Halgamuge, Saman K. and Wang, Lipo (ed.) Classification and clustering for knowledge discovery. Berlin, Germany. Springer. pp. 61-72

A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data

Liu, Han, Kustra, Rafal and Zhang, Ji. 2004. "A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data." Arabnia, Hamid R. (ed.) 2004 International Conference on Artificial Intelligence (ICAI'04). Las Vegas, United States 21 - 24 Jun 2004 Las Vegas, Nevada, USA.

A color indexing scheme using two-Level clustering processing for effective and efficient image retrieval

Zhang, Ji, Wang, Wei and Zhang, Sheng. 2005. "A color indexing scheme using two-Level clustering processing for effective and efficient image retrieval." Arabnia, Hamid R. and Scime, A. (ed.) 2005 International Conference on Data Mining (DMIN'05). Las Vegas, United States of America Jun 2005 Las Vegas, Nevada, USA.

Image mining: trends and developments

Hsu, Wynne, Lee, Mong Li and Zhang, Ji. 2002. "Image mining: trends and developments." Journal of Intelligent Information Systems. 19 (1), pp. 7-23. https://doi.org/10.1023/A:1015508302797

A framework for efficent association rule mining in XML data

Zhang, Ji, Liu, Han, Ling, Tok Wang, Bruckner, Robert and Tjoa, A. Min. 2006. "A framework for efficent association rule mining in XML data." Journal of Database Management. 17 (3), pp. 19-40.

Gene specific co-regulation discovery from gene microarray data

Zhang, Ji, Liu, Qing, Xu, Kai and de Souza, Paulo. 2008. "Gene specific co-regulation discovery from gene microarray data." Arthur, Jonathan and Ng, See-Kiong (ed.) 19th International Conference on Genome Informatics (GIW 2008). Gold Coast, Australia 01 - 03 Dec 2008

Discover gene specific local co-regulations from time-course gene expression data

Zhang, Ji, Gao, Qigang and Wang, Hai. 2008. "Discover gene specific local co-regulations from time-course gene expression data." Journal of Scientific Programming. 16 (1), pp. 31-47. https://doi.org/10.3233/SPR-2008-0243

A review of ontology and web service composition

Zhang, Ji. 2008. A review of ontology and web service composition. Australia. CSIRO Publishing.

Bio-SENSE: semantic web services for bioinformatics provenance

Bouguettaya, Athman, Hepburn, Mark, Liu, Qing, Xu, Kai and Zhang, Ji. 2008. "Bio-SENSE: semantic web services for bioinformatics provenance." Bird, Trevor (ed.) 2008 CSIRO ICT Centre Conference. Sydney, Australia 20 - 21 Nov 2008 Sydney, Australia.

Towards outlier detection for high-dimensional data streams using projected outlier analysis strategy

Zhang, Ji. 2008. Towards outlier detection for high-dimensional data streams using projected outlier analysis strategy. PhD Thesis Doctor of Philosophy. Dalhousie University, Canada.

X-warehouse: building query pattern-driven data warehouse for XML data

Zhang, Ji, Wang, Wei, Liu, Han and Zhang, Sheng. 2005. "X-warehouse: building query pattern-driven data warehouse for XML data." Ellis, Allan and Hagino, Tatsuya (ed.) 14th International World Wide Web Conference (WWW'05). Chiba, Japan 10 - 14 May 2005 New York, NY, USA.

XAR-Miner: efficient association rules mining for XML data

Zhang, Sheng, Zhang, Ji, Liu, Han and Wang, Wei. 2005. "XAR-Miner: efficient association rules mining for XML data." Ellis, Allan and Hagino, Tatsuya (ed.) 14th International World Wide Web Conference (WWW'05). Chiba, Japan 10 - 14 May 2005 New York, NY, USA.

Detecting outlying subspaces for high-dimensional data: a heuristic search approach

Zhang, Ji. 2005. "Detecting outlying subspaces for high-dimensional data: a heuristic search approach." 2005 SIAM International Workshop on Feature Selection for Data Mining: Interfacing Machine Learning and Statistics. Newport Beach, United States of America 23 Apr 2005

Outlying subspace detection for high-dimensional data

Zhang, Ji, Gao, Qigang and Wang, Hai. 2009. "Outlying subspace detection for high-dimensional data." Rivero, Laura C., Doorn, Jorge Horacio and Ferraggine, Viviana E. (ed.) Encyclopedia of database technologies and applications, 2nd ed.. Hershey, PA, United States. IGI Global. pp. 1-6

Grid-ODF: detecting outliers effectively and efficiently in large multi-dimensional databases

Wang, Wei, Zhang, Ji and Wang, Hai. 2005. "Grid-ODF: detecting outliers effectively and efficiently in large multi-dimensional databases." Hao, Y., Liu, J., Wang, Y., Cheung, Y.-M., Yin, H., Jiao, L., Ma, J. and Jiao, Y.-C. (ed.) 2005 IEEE International Conference on Computational Intelligence and Security (CIS'05). Xi'an, China 15 - 19 Dec 2005 Heidelberg, Germany.

Bio-Sense: a system for supporting sharing and exploration in bioinformatics using semantic web services

Bouguettaya, Athman, Hepburn, Mark, Liu, Qing, Xu, Kai and Zhang, Ji. 2008. "Bio-Sense: a system for supporting sharing and exploration in bioinformatics using semantic web services." 4th IEEE International Conference on eScience (eScience'08). Indianapolis, United States 10 - 12 Dec 2009 New York, United States.

Discover gene specific local co-regulations using progressive genetic algorithm

Zhang, Ji, Gao, Qigang and Wang, Hai. 2006. "Discover gene specific local co-regulations using progressive genetic algorithm." 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06). Washington D.C., United States 13 - 15 Nov 2006 New York, United States.

A novel method for detecting outlying subspaces in high-dimensional databases using genetic algorithm

Zhang, Ji, Gao, Qigang and Wang, Hai. 2006. "A novel method for detecting outlying subspaces in high-dimensional databases using genetic algorithm." 6th IEEE International Conference on Data Mining (ICDM 2006). Hong Kong, China 18 - 20 Dec 2006 New York, United States.

Anomaly detection in high-dimensional network data streams: a case study

Zhang, Ji, Gao, Qigang and Wang, Hai. 2008. "Anomaly detection in high-dimensional network data streams: a case study." 2008 IEEE International Conference on Intelligence and Security Informatics (ISI '08). Taipei, Taiwan 17 - 20 Jun 2008 New York, United States.

SPOT: a system for detecting projected outliers from high-dimensional data streams

Zhang, Ji, Gao, Qigang and Wang, Hai. 2008. "SPOT: a system for detecting projected outliers from high-dimensional data streams." 24th IEEE International Conference on Data Engineering (ICDE 2008). Cancun, Mexico 07 - 12 Apr 2008 New York, United States. https://doi.org/10.1109/ICDE.2008.4497638

Clustering in dynamic spatial databases

Zhang, Ji, Hsu, Wynne and Lee, Mong Li. 2005. "Clustering in dynamic spatial databases." Journal of Intelligent Information Systems. 24 (1), pp. 5-27. https://doi.org/10.1007/s10844-005-0265-0

PC-filter: a Robust filtering technique for duplicate record detection in large databases

Download files

Accepted Version

1882

688

8

4

Export as

Related outputs