Mining Activity Transactions to Strengthen Debt Prevention

Funding: 2007: $152,000
2008: $173,000
2009: $144,000

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

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

Start year: 2007

Summary: With Centrelink distributing 30% of all Commonwealth government expenditure, prevention of incorrect payment and debt is of national importance. Government customer debt-related activity transactions present special structural and semantic complexities, which challenge existing data mining approaches. The project aims to develop new frontier data mining techniques and algorithms for mining large volumes of activity transactional data. It also discovers interesting knowledge about the relationships between activities and the impacts of activities on debts. The outcomes will be an activity mining system prototype, which can benefit Australian Government departments and agencies through enhancing debt prevention and optimising processes.'',

Publications:

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, 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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Cao, L 2010, 'In-depth behavior understanding and use: The behavior informatics approach', Information Sciences, vol. 180, no. 17, pp. 3067-3085.
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Cao, L, Yu, P, Zhang, C & Zhang, H 2009, 'Introduction to Domain Driven Data Mining' in Cao, L, Yu, PS, Zhang, C & Zhang, H (eds), Data Mining for Business Applications, Springer, New York, USA, pp. 3-10.
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Wu, S, Zhao, Y, Zhang, H, Zhang, C, Cao, L & Bohlscheid, H 2009, 'Debt Detection in Social Security by Adaptive Sequence Classification' in Karagiannis, D & Jin, Z (eds), Knowledge Science, Engineering and Management, Springer, Germany, pp. 192-203.
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Cao, L & He, X 2009, 'Developing actionable trading agents', Knowledge And Information Systems, vol. 18, no. 2, pp. 183-192.
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Cao, L. & Yu, P. 2009, 'Behavior Informatics: An Informatics Perspective for Behavior Studies', IEEE Computational Intelligence Bulletin, vol. 10, no. 1, pp. 6-11.
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Zheng, Z, Zhao, Y, Zuo, Z & Cao, L 2009, 'Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns', Proceedings of the 8th Australasian Data Mining Conference (AusDM'09): Data Mining and Analytics - Conferences in Research and Practice in Information Technology Volume 101, Australian Data Mining Conference, Australian Computer Society, Melbourne, Australia, pp. 63-67.
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Cao, L, Zhao, Y & Zhang, C 2008, 'Mining impact-targeted activity patterns in imbalanced data', IEEE Transactions On Knowledge And Data Engineering, vol. 20, no. 8, pp. 1053-1066.
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Cao, L, Zhao, Y, Zhang, C & Zhang, H 2008, 'Activity mining: From activities to actions', International Journal Of Information Technology & Decision Making, vol. 7, no. 2, pp. 259-273.
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Cao, L, Luo, D, Xiao, Y & Zheng, Z 2008, 'Agent Collaboration for Multiple Trading Strategy Integration', Lecture Notes in Artificial Intelligence Vol 4953: Agent and Multi-Agent Systems: Technologies and Applications, International KES Symposium on Agents and Multiagent systems - Technologies and Applications, Springer Berlin, Incheon, Korea,, pp. 361-370.
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Luo, C, Zhao, Y, Cao, L, Ou, Y & Zhang, C 2008, 'Exception Mining on Multiple Time Series in Stock Market', 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology, Springer, Sydney, Australia, pp. 690-693.
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Cao, L, Luo, D & Zhang, C 2007, 'Knowledge actionability: satisfying technical and business interestingness', International Journal of Business Intelligence and Data Mining, vol. 2, no. 4, pp. 496-514.
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Cao, L 2007, 'Multi-strategy Integration for Actionable Trading Agents', Workshop on Agents & Data Mining Interaction (ADMI 2007), International Workshop on Agents and Data Mining Interaction, IEEE Computer Soc, San Jose, USA, pp. 487-490.
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Cao, L, Zhao, Y, Figueiredo, F, Ou, Y & Luo, D 2007, 'Mining High Impact Exceptional Behavior Patterns', Emerging Technologies in Knowledge Discovery and Data Mining: Revised Selected Papers of PAKDD 2007 International Workshops, Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Nanjing, China, pp. 56-63.
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Luo, D, Cao, L, Ni, J & Liu, L 2007, 'Building Agent Service Oriented Multi-Agent Systems', Agent and Multi-Agent Systems: Technologies and Applications, International KES Symposium on Agents and Multiagent systems - Technologies and Applications, Springer, Wroclaw, Poland, pp. 11-20.
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Keywords: Data Mining, Activity Transaction, Pattern Discovery, Debt Prevention,

FOR Codes: Information Storage, Retrieval and Management, Pattern Recognition, Business Information Systems (incl. Data Processing), Information processing services, Changing work patterns, Community services not elsewhere classified, Records and Information Management (excl. Business Records and Information Management), Employment Patterns and Change, Information Processing Services (incl. Data Entry and Capture), Pattern Recognition and Data Mining, Business Information Systems