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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:

Li, B, Zhu, X, Li, R & Zhang, C 2015, 'Rating Knowledge Sharing in Cross-Domain Collaborative Filtering', IEEE TRANSACTIONS ON CYBERNETICS, vol. 45, no. 5, pp. 1054-1068.
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Wang, H, Zhang, P, Tsang, I, Chen, L & Zhang, C 2015, 'Defragging Subgraph Features for Graph Classification', Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 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', Wiley Interdisciplinary Reviews-Data Mining And Knowledge Discovery, vol. 3, no. 2, pp. 140-155.
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Wang, C, Cao, L & Miao, B 2013, '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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Wei, W, Li, J, Cao, L, Ou, Y & Chen, J 2013, 'Effective Detection of Sophisticated Online Banking Fraud in 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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Li, J, Wang, C, Cao, L & Yu, P 2013, 'Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis', Proceedings of the 13th SIAM International Conference on Data Mining, SIAM International Conference on Data Mining, SIAM, Austin, Texas, USA, pp. 216-224.
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Liu, B, Xiao, Y, Yu, P, Cao, L & Hao, Z 2013, 'Robust Textual Data Streams Mining Based on Continuous Transfer Learning', Proceedings of the 13th SIAM International Conference on Data Mining, SIAM International Conference on Data Mining, SIAM, Austin, Texas, USA, pp. 731-739.
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Wang, C, She, Z & Cao, L 2013, 'Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects', Proceedings of the 29th IEEE International Conference on Data Engineering, IEEE International Conference on Data Engineering, IEEE, Brisbane, Australia, pp. 374-385.
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Wei, W, Li, J, Cao, L, Sun, J, Liu, C & Li, M 2013, 'Optimal Allocation of High Dimensional Assets through Canonical Vines', Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I, Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Gold Coast, Australia, pp. 366-377.
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Yu, Y, Wang, C, Gao, Y, Cao, L & Chen, X 2013, 'A Coupled Clustering Approach for Items Recommendation', Lecture Notes in Computer Science, Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Gold Coast, Australia, pp. 365-376.
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Cao, L 2012, 'Actionable Knowledge Discovery And Delivery', Interdisciplinary Reviews Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 149-163.
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Cao, L, Ou, Y & Yu, P 2012, 'Coupled Behavior Analysis With Applications', IEEE Transactions On Knowledge And Data Engineering, vol. 24, no. 8, pp. 1378-1392.
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She, Z, Wang, C & Cao, L 2012, 'CCE: A Coupled Framework of Clustering Ensembles', Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Toronto, Ontario, Canada, pp. 2455-2456.
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Song, Y & Cao, L 2012, 'Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock mark', The 2012 International Joint Conference on Neural Networks (IJCNN), IEEE International Joint Conference on Neural Networks, IEEE, Brisbane, Australia, pp. 1-8.
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Wang, C, Wang, M, She, Z & Cao, L 2012, 'CD: A Coupled Discretization Algorithm', Lecture Notes in Computer Science, Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Kuala Lumpur, Malaysia, pp. 407-418.
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Cao, L, Zhang, H, Zhao, Y, Luo, D & Zhang, C 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 2011, 'e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning', Proceedings of the 20th ACM International Conference on Information and Knowledge Management, 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