Detecting Significant Changes in Organisation-Customer Interactions Leading to Non-Compliance

Funding: 2010: $100,000
2011: $100,000
2012: $100,000

Project Member(s): Cao, L., Zhang, C.

Funding or Partner Organisation: Australian Research Council (ARC Linkage Projects)
Centrelink

Start year: 2010

Summary: The instant detection of risky customer/group dynamics and business policy/process changes dispersed in normal interactions can abo9d immense losses and inconsistent policies for Government and industries such as preventing Centrelink customer debt. This project will deliver novel analytical techniques and smart information use to effectively detect the above-mentioned changes leading to non-compliance. It will enhance service quality, compliance, payment accuracy and policy design for eth Austrian Government and industries such as Centrelink, FaCSIA, banking and insurance. The resulting systems, the reear3ehers trained and resulting publications will significantly enhance Australia's leading role in tackling change-driven non-compliance.

Publications:

Bin Li, Xingquan Zhu, Ruijiang Li & Chengqi Zhang 2015, 'Rating Knowledge Sharing in Cross-Domain Collaborative Filtering', IEEE Transactions on Cybernetics, vol. 45, no. 5, pp. 1068-1082.
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Wang, H, Zhang, P, Tsang, I, Chen, L & Zhang, C 1970, 'Defragging Subgraph Features for Graph Classification', Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM'15: 24th ACM International Conference on Information and Knowledge Management, ACM, Melbourne, VIC, Australia, pp. 1687-1690.
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Cao, L 2013, 'Combined mining: Analyzing object and pattern relations for discovering and constructing complex yet actionable patterns', WIREs Data Mining and Knowledge Discovery, vol. 3, no. 2, pp. 140-155.
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Wei, W, Li, J, Cao, L, Ou, Y & Chen, J 2013, 'Effective detection of sophisticated online banking fraud on extremely imbalanced data', World Wide Web, vol. 16, no. 4, pp. 449-475.
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Yang, W, Gao, Y & Cao, L 2013, 'TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning', Computer Vision and Image Understanding, vol. 117, no. 10, pp. 1273-1286.
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Can Wang, Zhong She & Longbing Cao 1970, 'Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects', 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 29th IEEE International Conference on Data Engineering (ICDE 2013), IEEE, Brisbane, Australia, pp. 374-385.
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Li, J, Wang, C, Cao, L & Yu, PS 1970, 'Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis', 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. 216-224.
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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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Cao, L 2012, 'Actionable knowledge discovery and delivery', WIREs Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 149-163.
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Cao, L, Ou, Y & Yu, PS 2012, 'Coupled Behavior Analysis with Applications', IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 8, pp. 1378-1392.
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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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She, Z, Wang, C & Cao, L 1970, 'CCE: A coupled framework of clustering ensembles', Proceedings of the National Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Toronto, Ontario, Canada, pp. 2455-2456.

Wang, C, Wang, M, She, Z & Cao, L 1970, 'CD: A Coupled Discretization Algorithm', 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, Kuala Lumpur, Malaysia, pp. 407-418.
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Yin Song & Cao, L 1970, 'Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock markets', The 2012 International Joint Conference on Neural Networks (IJCNN), 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane), IEEE, Brisbane, Australia, pp. 1-8.
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Longbing Cao, Huaifeng Zhang, Yanchang Zhao, Dan Luo & Chengqi Zhang 2011, 'Combined Mining: Discovering Informative Knowledge in Complex Data', IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 41, no. 3, pp. 699-712.
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Dong, X, Zheng, Z, Cao, L, Zhao, Y, Zhang, C, Li, J, Wei, W & Ou, Y 1970, 'e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning.', CIKM, ACM International Conference on Information and Knowledge Management, ACM, Glasgow, Scotland, UK, pp. 825-830.
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Keywords: Data mining, Knowledge discovery, Pattern Discovery.

FOR Codes: Information Processing Services (incl. Data Entry and Capture), Computer Software and Services not elsewhere classified, Pattern Recognition and Data Mining, Simulation and Modelling, Modelling and simulation, Data mining and knowledge discovery, Information systems, technologies and services

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.