4605. Data management and data science


Title4605. Data management and data science
Parent46. Information and Computing Sciences

Latest research outputs

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Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation
Zhang, Tianyu, Li, Lin, Zhang, Rui and Tao, Xiaohui. 2024. "Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation." 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/10.1007/978-981-97-7235-3_28

Paper

Non-Codeing RNAs Family Prediction Based on RNA Representation and Deep Learning
Teragawa, Shoryu, Wang, Lei and Liu, Yi. 2024. "Non-Codeing RNAs Family Prediction Based on RNA Representation and Deep Learning." N., Shen W.Shen W.Barthes J.-P.Luo J.Qiu T.Zhou X.Zhang J.Zhu H.Peng K.Xu T.Chen (ed.) 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024 ). Tianjin, China 08 - 10 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSCWD61410.2024.10580496

Paper

MealRec+: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness
Li, Ming, Li, Lin, Tao, Xiaohui and Huang, Jimmy Xiangji. 2024. "MealRec+: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness." 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24). Washington DC, United States 14 - 18 Jul 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3626772.3657857

Paper

An Urban Air Quality Prediction Model based on Dynamic Correlation of Influencing Factors
Li, Lin, Mai, Yunqi, Chu, Yu, Tao, Xiaohui and Yong, Jiaming. 2024. "An Urban Air Quality Prediction Model based on Dynamic Correlation of Influencing Factors." N., Shen W.Shen W.Barthes J.-P.Luo J.Qiu T.Zhou X.Zhang J.Zhu H.Peng K.Xu T.Chen (ed.) 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024 ). Tianjin, China 08 - 10 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSCWD61410.2024.10580204

Paper

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction
Hu, Kaixi, Li, Lin, Xie, Qing, Tao, Xiaohui and Xu, Guandong. 2024. "CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction." H.V., Onizuka M.Lee J.-G.Tong Y.Xiao C.Ishikawa Y.Lu K.Amer-Yahia S.Jagadish (ed.) 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024). Gifu, Japan 02 - 05 Jul 2024 Singapore . Springer. https://doi.org/10.1007/978-981-97-5575-2_7

Conference or Workshop item

Computational Personality Analysis with Interpretability Empowered Prediction
Elmahalaw, Ahmed R., Li, Lin, Wu, Xiaohua, Tao, Xiaohui and Yong, Jianming. 2024. "Computational Personality Analysis with Interpretability Empowered Prediction." 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024 ). Tianjin, China 08 - 10 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSCWD61410.2024.10580811

Paper

Enhanced AI-Based Methodologies for Detection of Prenatal & Postnatal Depression In Women
Gopalakrishnan, Abinaya. 2024. Enhanced AI-Based Methodologies for Detection of Prenatal & Postnatal Depression In Women. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z960x

PhD Thesis

From wide to deep: dimension lifting network for parameter-efficient knowledge graph embedding
Cai, Borui, Xiang, Yong, Gao, Longxiang, Wu, Di, Zhang, He, Jin, Jiong and Luan, Tom. 2024. "From wide to deep: dimension lifting network for parameter-efficient knowledge graph embedding." IEEE Transactions on Knowledge and Data Engineering. https://doi.org/DOI:10.1109/TKDE.2024.3437479

Article

Leveraging Synthetic Data and Machine Learning for Shared Facility Scheduling
Rabaev, Marsel, Pratama, Handy and Chan, Ka C.. 2024. "Leveraging Synthetic Data and Machine Learning for Shared Facility Scheduling." 17th International Conference on Information Technology and Applications (ICITA 2023). Turin, Italy 20 - 21 Oct 2023 Singapore. Springer. https://doi.org/10.1007/978-981-99-8324-7_34

Paper

Time-Domain Sparsity-Based Bearing Fault Diagnosis Methods Using Pulse Signal-to-Noise Ratio
Zhang, Chi, Wei, Shaoming, Dong, Ge, Zeng, Yajun, Zhu, Guohun, Zhou, Xujuan and Liu, Feng. 2024. "Time-Domain Sparsity-Based Bearing Fault Diagnosis Methods Using Pulse Signal-to-Noise Ratio." IEEE Transactions on Instrumentation and Measurement. 73. https://doi.org/10.1109/TIM.2024.3375978

Article

Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization
Yong, Jianming, Sello, Buti and Tao, Xiaohui. 2024. "Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization." Data Science and Engineering. https://doi.org/10.1007/s41019-024-00251-0

Article

Cryptocurrency trading: A systematic mapping study
Chan, Ka Ching and Nguyen, Duy Thien An. 2024. "Cryptocurrency trading: A systematic mapping study." International Journal of Information Management Data Insights. 4 (2). https://doi.org/10.1016/j.jjimei.2024.100240

Article

Revising data collection methodology - evidence from the Australian financial sector
Neilson, Ben, Marty, Tom and Daley, Nat. 2024. "Revising data collection methodology - evidence from the Australian financial sector." The Journal of Finance and Data Science. 10. https://doi.org/10.1016/j.jfds.2024.100131

Article

20 years of Web Intelligence: Call for a new era of AI in the Connected World
Kuai, Hongzhi and Tao, Xiaohui. 2024. "20 years of Web Intelligence: Call for a new era of AI in the Connected World." Web Intelligence. 22 (1), pp. 1-4. https://doi.org/10.3233/WEB-230451

Editorial

Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee and Cao, Jie. 2024. "Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses." International Journal of Machine Learning and Cybernetics. https://doi.org/10.1007/s13042-024-02203-6

Article

A topic modeling-based bibliometric exploration of automatic summarization research
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Xu, Lingling, Wang, Jingjing, Dai, Hong-Ning and Wang, Fu Lee. 2024. "A topic modeling-based bibliometric exploration of automatic summarization research." WIREs Data Mining and Knowledge Discovery. https://doi.org/10.1002/widm.1540

Article

Contrastive sentence representation learning with adaptive false negative cancellation
Xu, Lingling, Xie, Haoran, Wang, Fu Lee, Tao, Xiaohui, Wang, Weiming and Li, Qing. 2024. "Contrastive sentence representation learning with adaptive false negative cancellation." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102065

Article

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

Article

A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran and Velasquez, Juan D.. 2024. "A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102040

Article

Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application
Raza, Muhammad, Enam, Rabia Noor and Qureshi, Rehan. 2024. "Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application." Frontiers in Big Data. 7. https://doi.org/10.3389/fdata.2024.1358486

Article

Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security
Nabi, Faisal and Zhou, Xujuan. 2024. "Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security." Cyber Security and Applications. 2. https://doi.org/10.1016/j.csa.2023.100033

Article

Category-Wise Meal Recommendation
Li, Ming, Li, Lin, Tao, Xiaohui, Xie, Qing and Yuan, Jingling. 2024. "Category-Wise Meal Recommendation." 30th International Conference on Neural Information Processing, Part XIV (ICONIP2023). Changsha, China 20 - 23 Nov 2023 Singapore . Springer. https://doi.org/10.1007/978-981-99-8181-6_22

Paper

Investigating School Absenteeism and Refusal among Australian Children and Adolescents using Apriori Association Rule Mining
Haque, Umme Marzia, Kabir, Enamul and Khanam, Rasheda. 2024. "Investigating School Absenteeism and Refusal among Australian Children and Adolescents using Apriori Association Rule Mining." Scientific Reports. 14. https://doi.org/10.1038/s41598-024-51230-4

Article

Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks
Cai, Taotao, Lei, Qi, Sheng, Quan Z., Cui, Ningning, Yang, Shuiqiao, Yang, Jian, Zhang, Wei Emma and Mahmood, Adnan. 2024. "Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks." IEEE Transactions on Knowledge and Data Engineering. 36 (5), pp. 2151-2165. https://doi.org/10.1109/TKDE.2023.3316268

Article

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

Article

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

Article

Dynamic Correlation Adjacency Matrix Based Graph Neural Network for Traffic Flow Prediction
Gu, Junhua, Jia, Zhihao, Cai, Taotao, Song, Xiangyu and Mahmood, Adnan. 2023. "Dynamic Correlation Adjacency Matrix Based Graph Neural Network for Traffic Flow Prediction." Sensors. 23 (6). https://doi.org/10.3390/s23062897

Article

Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification
Tao, Xiaohui, Jaworsky, Markian, 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

Paper

Predicting learners' performance using MOOC clickstream
Xiao, Kui, Pan, Xueyan, Zhang, Yan, Tao, Xiaohui and Huang, Zhifang. 2023. "Predicting learners' performance using MOOC clickstream." 19th International Conference on Advanced Data Mining and Applications (ADMA'23). Shenyang, China 21 - 23 Aug 2023 Switzerland. Springer. https://doi.org/10.1007/978-3-031-46674-8_42

Paper

HA-CMNet: A Driver CTR Model for Vehicle-Cargo Matching in O2O Platform
Jiang, Zilong, Zuo, Xiang, Li, Lin, Tao, Xiaohui and Wang, Dali. 2023. "HA-CMNet: A Driver CTR Model for Vehicle-Cargo Matching in O2O Platform." 19th International Conference on Advanced Data Mining and Applications (ADMA'23). Shenyang, China 21 - 23 Aug 2023 Switzerland . Springer. https://doi.org/10.1007/978-3-031-46674-8_45

Paper

Tree-like Interaction Learning for Bundle Recommendation
Ke, Haole, Li, Lin, Wang, Peipei, Yuan, Jingling and Tao, Xiaohui. 2023. "Tree-like Interaction Learning for Bundle Recommendation." 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'23). Rhodes Island, Greece 04 - 10 Jun 2023 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICASSP49357.2023.10096246

Paper

User-Meal Interaction Learning for Meal Recommendation: A Reproducibility Study
Li, Ming, Li, Lin, Tao, Xiaohui and Zhong, Ning. 2023. "User-Meal Interaction Learning for Meal Recommendation: A Reproducibility Study." Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP '23). Beijing, China 26 - 28 Nov 2023 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3624918.3625342

Paper

Interrelated feature selection from health surveys using domain knowledge graph
Tao, Xiaohui, Jaworsky, Markian, 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

Article

Top-k socio-spatial co-engaged location selection for social users
Hasan Haldar, Nur Al, Li, Jianxin, Ali, Mohammed Eunus, Cai, Taotao, Chen, Yunliang, Sellis, Timos and Reynolds, Mark. 2023. "Top-k socio-spatial co-engaged location selection for social users." IEEE Transactions on Knowledge and Data Engineering. 35 (5), pp. 5325-5340. https://doi.org/10.1109/TKDE.2022.3151095

Article

Towards Multi-User, Secure, and Verifiable kNN Query in Cloud Database
Cui, Ningning, Qian, Kang, Cai, Taotao, Li, Jianxin, Yang, Xiaochun, Cui, Jie and Zhong, Hong. 2023. "Towards Multi-User, Secure, and Verifiable kNN Query in Cloud Database." IEEE Transactions on Knowledge and Data Engineering. 35 (9), pp. 9333-9349. https://doi.org/10.1109/TKDE.2023.3237879

Article

Incremental graph computation: Anchored Vertex Tracking in Dynamic Social Networks
Cai, Taotao, Yang, Shuiqiao, Li, Jianxin, Sheng, Quan Z., Yang, Jian, Wang, Xin, Zhang, Wei Emma and Gao, Longxiang. 2023. "Incremental graph computation: Anchored Vertex Tracking in Dynamic Social Networks." IEEE Transactions on Knowledge and Data Engineering. 35 (7), pp. 7030-7044. https://doi.org/10.1109/TKDE.2022.3199494

Article

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

Paper

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

Paper

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

Paper

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

Paper