4605. Data management and data science


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

Latest research outputs

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The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River
Diop, Lamine, Bodian, Ansoumana, Djaman, Koffi, Yaseen, Zaher Mundher, Deo, Ravinesh C., El-Shafie, Ahmed and Brown, Larry C.. 2018. "The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River." Environmental Earth Sciences. 77 (5). https://doi.org/10.1007/s1266

Article

Fuzzy and neutrosophic modeling for link prediction in social networks
Tuan, Tran Manh, Chuan, Pham Minh, Ali, Mumtaz, Ngan, Tran Thi, Mittal, Mamta and Son, Le Hoang. 2019. "Fuzzy and neutrosophic modeling for link prediction in social networks." Evolving Systems. 10, pp. 629-634. https://doi.org/10.1007/s12530-018-9251-y

Article

EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification
Li, Zongxi, Chen, Xinhong, Xie, Haoran, Li, Qing and Tao, Xiaohui. 2021. "EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification." He, Jing, Purohit, Hemant, Huang, Guangyan, Gao, Xiaoying and Deng, Ke (ed.) 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2020). Melbourne, Australia 14 - 17 Dec 2020 Massachusetts, United States. https://doi.org/10.1109/WIIAT50758.2020.00036

Paper

Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Traffic Signal Control
Peng, Yuquan, Li, Lin, Xie, Qing and Tao, Xiaohui. 2021. "Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Traffic Signal Control." U, Leong Hou, Spaniol, Marc, Sakurai, Yasushi and Chen, Junying (ed.) 5th International Joint Conference on Asia-Pacific Web and Web-Age Information Management, Part II (APWeb-WAIM 2021). Guangzhou, China 23 - 25 Aug 2021 Switzerland. Springer. https://doi.org/10.1007/978-3-030-85899-5_29

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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

Paper

Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications
Kuai, Hongzhi, Chen, Jianhui, Tao, Xiaohui, Imamura, Kazuyuki, Liang, Peipeng and Zhong, Ning. 2021. "Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications." Mahmud, Mufti, Kaiser, M. Shamim, Vassanelli, Stefano, Dai, Qionghai and Zhong, Ning (ed.) 14th International Conference on Brain Informatics (BI 2021). Online Cham, Switzerland. https://doi.org/10.1007/978-3-030-86993-9_10

Paper

What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
Hu, Kaixi, Li, Lin, Xie, Qing, Liu, Jianquan and Tao, Xiaohui. 2021. "What is Next when Sequential Prediction Meets Implicitly Hard Interaction?" 30th ACM International Conference on Information and Knowledge Management (CIKM 2021). Queensland, Australia 01 - 05 Nov 2021 New York, United States. https://doi.org/10.1145/3459637.3482492

Paper

Event Detection in Social Media via Graph Neural Network
Gao, Wang, Fang, Yuan, Li, Lin and Tao, Xiaohui. 2021. "Event Detection in Social Media via Graph Neural Network." Zhang, Wenjie, Zou, Lei, Maamar, Zakaria and Chen, Lu (ed.) 22nd International Conference on Web Information Systems Engineering, Part I (WISE 2021). Melbourne, Australia 26 - 29 Oct 2021 Switzerland. Springer. https://doi.org/10.1007/978-3-030-90888-1_28

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Contrastive and attentive graph learning for multi-view clustering
Wang, Ru, Li, Lin, Tao, Xiaohui, Wang, Peipei and Liu, Peiyu. 2022. "Contrastive and attentive graph learning for multi-view clustering." Information Processing and Management. 59 (4), pp. 1-14. https://doi.org/10.1016/j.ipm.2022.102967

Article

Sentiment Analysis of Chinese E-commerce Reviews Based on BERT
Xie, Song, Cao, Jingjing, Wu, Zhou, Liu, Kai, Tao, Xiaohui and Xie, Haoran. 2021. "Sentiment Analysis of Chinese E-commerce Reviews Based on BERT." 18th IEEE International Conference on Industrial Informatics (INDIN 2020). Warwick, United Kingdom 21 - 23 Jul 2020 Piscataway, United States. https://doi.org/10.1109/INDIN45582.2020.9442190

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A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting
Li, Zhaoyang, Li, Lin, Peng, Yuquan and Tao, Xiaohui. 2020. "A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting." 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/ICTAI50040.2020.00063

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The Pursuit of Service Excellence: how business intelligence can drive service improvement
Te'o, Togamau. 2019. "The Pursuit of Service Excellence: how business intelligence can drive service improvement." Australian Network University Planners Conference (ANUP 2019). Hobart, Tasmania 11 Nov 2019

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Adaptive fault diagnosis for data replication systems
Wee, Chee Keong and Wee, Nathan. 2021. "Adaptive fault diagnosis for data replication systems." Qiao, Miao, Vossen, Gottfried, Wang, Sen and Li, Lei (ed.) 32nd Australasian Database Conference: Database Theory and Applications (ADC 2021). Dunedin, New Zealand 29 Jan - 05 Feb 2021 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-030-69377-0_11

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A federated learning based semi-supervised credit prediction approach enhanced by multi-layer label mean
Li, Lin, Long, Sijie, Bi, Jiaxiu, Wang, Guowei, Zhang, Jiawei and Tao, Xiaohui. 2021. "A federated learning based semi-supervised credit prediction approach enhanced by multi-layer label mean." Web Intelligence. 19 (4), pp. 329-342. https://doi.org/10.3233/WEB-210476

Article

EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism
Li, Zongxi, Chen, Xinhong, Xie, Haoran, Li, Qing, Tao, Xiaohui and Cheng, Gary. 2021. "EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism." World Wide Web. 24 (6), pp. 2049-2070. https://doi.org/10.1007/s11280-021-00957-5

Article

An Empirical Study of Learning Based Happiness Prediction Approaches
Kong, Miao, Li, Lin, Wu, Renwei and Tao, Xiaohui. 2021. "An Empirical Study of Learning Based Happiness Prediction Approaches." Human-centric Computing and Information Sciences. 1 (1-2), pp. 18-24. https://doi.org/10.2991/hcis.k.210622.001

Article

Semantic Knowledge Discovery for User Profiling for Location-Based Recommender Systems
Tao, Xiaohui, Sharma, Nischal, Delaney, Patrick and Hu, Aimin. 2021. "Semantic Knowledge Discovery for User Profiling for Location-Based Recommender Systems." Human-centric Computing and Information Sciences. 1 (1-2), pp. 32-42. https://doi.org/10.2991/hcis.k.210704.001

Article

A Novel Permutation Entropy-Based EEG Channel Selection for Improving Epileptic Seizure Prediction
Ra, Jee Sook, Li, Tianning, Li, Yan, Ra, Jee S., Li, Tianning and Li, Yan. 2021. "A Novel Permutation Entropy-Based EEG Channel Selection for Improving Epileptic Seizure Prediction." Sensors. 21 (23). https://doi.org/10.3390/s21237972

Article

Target-Aware Holistic Influence Maximization in Spatial Social Networks
Cai, Taotao, Li, Jianxin, Mian, Ajmal, Li, Rong-Hua, Sellis, Timos and Yu, Jeffrey Xu. 2022. "Target-Aware Holistic Influence Maximization in Spatial Social Networks ." IEEE Transactions on Knowledge and Data Engineering. 34 (4), pp. 1993-2007. https://doi.org/10.1109/TKDE.2020.3003047

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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

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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

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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

Article

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

Article

Large-scale brain network model and multi-band electroencephalogram rhythm simulations
Al-Hossenat, Auhood, Wen, Peng and Li, Yan. 2022. "Large-scale brain network model and multi-band electroencephalogram rhythm simulations." International Journal of Biomedical Engineering and Technology. 38 (4), pp. 395-409. https://doi.org/10.1504/IJBET.2022.123153

Article

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

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The Influence of Consumers' Trust and Cognitive Absorption on Behavioural Intentions to Reuse Recommender Systems
Acharya, Nirmal. 2022. The Influence of Consumers' Trust and Cognitive Absorption on Behavioural Intentions to Reuse Recommender Systems. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q92

PhD by Publication

Hierarchical neural topic modeling with manifold regularization
Chen, Ziye, Ding, Cheng, Rao, Yanghui, Xie, Haoran, Tao, Xiaohui, Cheng, Gary and Wang, Fu Lee. 2021. "Hierarchical neural topic modeling with manifold regularization." World Wide Web. 24 (6), pp. 2139-2160. https://doi.org/10.1007/s11280-021-00963-7

Article

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

Article

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

Article

Identification of Microchip Implantation Events for Dogs and Cats in the VetCompass Australia Database
Croton, Catriona, McGreevy, Paul, Masters, Sophie, Richards, Leonie, Soares Magalhaes, Ricardo, Peaston, Anne, Combs, Martin, Irwin, Peter, Lloyd, Janice, Wylie, Claire and Wilson, Bethany. 2019. "Identification of Microchip Implantation Events for Dogs and Cats in the VetCompass Australia Database." Animals. 9 (7), pp. 1-10. https://doi.org/10.3390/ani9070423

Article

Monitoring and Control of Unstructured Manufacturing Big Data
Cui, Yesheng, Kara, Sami and Chan, Ka C.. 2021. "Monitoring and Control of Unstructured Manufacturing Big Data." IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2020). Marina Bay Sands, Singapore 14 - 17 Dec 2020 Piscataway, United States. https://doi.org/10.1109/IEEM45057.2020.9309975

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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

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Employers’ perspectives of accounting graduates and their world of work: software use and ICT competencies
Daff, Lyn. 2021. "Employers’ perspectives of accounting graduates and their world of work: software use and ICT competencies." Accounting Education: An International Journal. 30 (5), pp. 495-524. https://doi.org/10.1080/09639284.2021.1935282

Article

Resampling methods for generating continuous multivariate synthetic data for disclosure control
Khan, Atikur R. and Kabir, Enamul. 2021. "Resampling methods for generating continuous multivariate synthetic data for disclosure control." Journal of Data, Information and Management. 3, pp. 225-235. https://doi.org/10.1007/s42488-021-00054-2

Article

Charge prediction modeling with interpretation enhancement driven by double-layer criminal system
Li, Lin, Zhao, Lingyun, Nai, Peiran and Tao, Xiaohui. 2022. "Charge prediction modeling with interpretation enhancement driven by double-layer criminal system." World Wide Web. 25 (1), pp. 381-400. https://doi.org/10.1007/s11280-021-00873-8

Article

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

Article

Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models
Body, Thomas, Tao, Xiaohui, Li, Yuefeng, Li, Lin and Zhong, Ning. 2021. "Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models." Expert Systems with Applications. 178, pp. 1-12. https://doi.org/10.1016/j.eswa.2021.115033

Article

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

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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

Paper

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

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