Modelling and Discovering Complex Interaction Relations Hidden in Group Behaviours in Businesses, Online and Social Communities
Funding: 2013: $120,000
2014: $120,000
2015: $120,000
Project Member(s): Cao, L.
Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
University of Illinois at Chicago
Maastricht University (Maastricht University, Netherlands)
Start year: 2013
Summary: Complex interactions and relations hidden in groups form a major driver of exceptional behaviours and their dynamics in wide businesses, online and social communities. The inadequacy of related techniques for modelling and discovering complex relations in behaviour analysis and data mining limits the instant detection and effective intervention on suspicious group behaviours. This project will invent effective theories and algorithms for representing and learning diverse behavior interaction relations, their influence and evolution in large groups. The outcomes will advance complex relation learning and behaviour analysis, deepen the understanding of group events and activities, and safeguard businesses, online and social communities.
Publications:
Cao, L 2020, 'Data Science: A Comprehensive Overview', ACM Computing Surveys, 50(3), 43:1-42, 2017, vol. 50, no. 3.
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Cao, L 2020, 'Data Science: Nature and Pitfalls', IEEE Intelligent Systems, vol. 31, no. 5, pp. 5-75.
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Dong, X, Gong, Y & Cao, L 2018, 'F-NSP
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Hu, L, Cao, L, Cao, J, Gu, Z, Xu, G & Wang, J 2017, 'Improving the Quality of Recommendations for Users and Items in the Tail of Distribution', ACM Transactions on Information Systems, vol. 35, no. 3, pp. 1-37.
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Cao, L, Dong, X & Zheng, Z 2016, 'e-NSP: Efficient negative sequential pattern mining', Artificial Intelligence, vol. 235, pp. 156-182.
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Li, F, Xu, G & Cao, L 2016, 'Two-level matrix factorization for recommender systems', Neural Computing and Applications, vol. 27, no. 8, pp. 2267-2278.
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Shen, B, Cao, L, Yao, M & Gao, Y 2016, 'Mining preferred navigation patterns by consolidating both selection and time preferences', World Wide Web, vol. 19, no. 5, pp. 979-1007.
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Pang, G, Cao, L & Chen, L 1970, 'Outlier detection in complex categorical data by modelling the feature value couplings', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence (IJCAI), AAAI Press, New York, pp. 1902-1908.
Pang, G, Cao, L, Chen, L & Liu, H 1970, 'Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings', 2016 IEEE 16th International Conference on Data Mining (ICDM), 2016 IEEE 16th International Conference on Data Mining (ICDM), IEEE, Barcelona, pp. 410-419.
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Deng, Z, Cao, L, Jiang, Y & Wang, S 2015, 'Minimax Probability TSK Fuzzy System Classifier: A More Transparent and Highly Interpretable Classification Model', IEEE Transactions on Fuzzy Systems, vol. 23, no. 4, pp. 813-826.
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Fan, X & Cao, L 2015, 'A convergence theorem for graph shift-type algorithms', Pattern Recognition, vol. 48, no. 8, pp. 2751-2760.
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Fan, X, Cao, L & Da Xu, RY 2015, 'Dynamic Infinite Mixed-Membership Stochastic Blockmodel', IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 9, pp. 2072-2085.
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Bo Liu, Yanshan Xiao, Yu, PS, Zhifeng Hao & Longbing Cao 2014, 'An Efficient Approach for Outlier Detection with Imperfect Data Labels', IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 7, pp. 1602-1616.
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Cao, L 2014, 'Non-IIDness Learning in Behavioral and Social Data', The Computer Journal, vol. 57, no. 9, pp. 1358-1370.
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Deng, Z, Choi, K-S, Cao, L & Wang, S 2014, 'T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System', IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 4, pp. 664-676.
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Liu, B, Xiao, Y, Yu, PS, Cao, L, Zhang, Y & Hao, Z 2014, 'Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams', IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 2, pp. 468-484.
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Liu, B, Xiao, Y, Yu, PS, Hao, Z & Cao, L 2014, 'An efficient orientation distance–based discriminative feature extraction method for multi-classification', Knowledge and Information Systems, vol. 39, no. 2, pp. 409-433.
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Xiao, Y, Liu, B, Hao, Z & Cao, L 2014, 'A K-Farthest-Neighbor-based approach for support vector data description', Applied Intelligence, vol. 41, no. 1, pp. 196-211.
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Xiao, Y, Liu, B, Hao, Z & Cao, L 2014, 'A Similarity-Based Classification Framework for Multiple-Instance Learning', IEEE Transactions on Cybernetics, vol. 44, no. 4, pp. 500-515.
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Li, F, Xu, G & Cao, L 1970, 'Coupled Matrix Factorization within Non-IID Context', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Ho Chi Minh City, Vietnam, pp. 707-719.
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Zhou, J, Cao, L & Yang, N 2013, 'On the convergence of some possibilistic clustering algorithms', Fuzzy Optimization and Decision Making, vol. 12, no. 4, pp. 415-432.
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Li, F, Xu, G, Cao, L, Fan, X & Niu, Z 1970, 'CGMF: Coupled Group-Based Matrix Factorization for Recommender System', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Web Information Systems Engineering, Springer Berlin Heidelberg, Nanjing, China, pp. 189-198.
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Li, W, Cao, L, Zhao, D, Cui, X & Yang, J 1970, 'CRNN: Integrating classification rules into neural network', The 2013 International Joint Conference on Neural Networks (IJCNN), 2013 International Joint Conference on Neural Networks (IJCNN 2013 - Dallas), IEEE, Dallas, TX, USA, pp. 1-8.
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Liu, B, Xiao, Y, Yu, PS, Cao, L & Hao, Z 1970, 'Robust Textual Data Streams Mining Based on Continuous Transfer Learning', Proceedings of the 2013 SIAM International Conference on Data Mining, Proceedings of the 2013 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, Austin, Texas, USA, pp. 731-739.
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Wei, W, Li, J, Cao, L, Sun, J, Liu, C & Li, M 1970, 'Optimal Allocation of High Dimensional Assets through Canonical Vines', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer Berlin Heidelberg, Gold Coast, Australia, pp. 366-377.
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Yu, Y, Wang, C, Gao, Y, Cao, L & Chen, X 1970, 'A Coupled Clustering Approach for Items Recommendation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer Berlin Heidelberg, Gold Coast, Australia, pp. 365-376.
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Wang, C, Cao, L & Miao, B 2012, 'Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data', Computational Statistics and Data Analysis, vol. 66, pp. 140-149.
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Wang, C, Yang, J, Miao, B & Cao, L 2012, 'On Identity Tests for High Dimensional Data Using RMT', Journal of Multivariate Analysis, vol. 118, pp. 128-137.
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Keywords: Data mining,Behavior analysis
FOR Codes: Pattern Recognition and Data Mining, Application Tools and System Utilities, Simulation and Modelling, Information Processing Services (incl. Data Entry and Capture), Modelling and simulation, Data mining and knowledge discovery, Information systems, technologies and services not elsewhere classified
