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:

Cao, L 2020, 'In-Depth Behavior Understanding and Use: The Behavior Informatics Approach', Information Science, 180(17); 3067-3085, 2010, vol. 180, no. 17, pp. 3067-3085.
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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, 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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Longbing, C 2009, 'Introduction to Domain Driven Data Mining' in Cao, L, Yu, PS, Zhang, C & Zhang, H (eds), Data Mining for Business Applications, Springer US, 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), Lecture Notes in Computer Science, Springer Berlin Heidelberg, Germany, pp. 192-203.
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Cao, L & He, T 2009, 'Developing actionable trading agents', Knowledge and Information Systems, vol. 18, no. 2, pp. 183-198.
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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.

Zheng, Z, Zhao, Y, Zuo, Z & Cao, L 1970, 'Negative-GSP: An efficient method for mining negative sequential patterns', Conferences in Research and Practice in Information Technology Series, Australian Data Mining Conference, Australian Computer Society, Melbourne, Australia, pp. 63-67.

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. 07, no. 02, pp. 259-273.
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Cao, L, Luo, D, Xiao, Y & Zheng, Z 1970, 'Agent Collaboration for Multiple Trading Strategy Integration.', KES-AMSTA, International KES Symposium on Agents and Multiagent systems - Technologies and Applications, Springer, Incheon, Korea,, pp. 361-370.
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Luo, C, Zhao, Y, Cao, L, Ou, Y & Zhang, C 1970, 'Exception Mining on Multiple Time Series in Stock Market', 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, IEEE, 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. 496-496.
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Cao, L 1970, 'Multi-strategy Integration for Actionable Trading Agents', 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, IEEE, San Jose, USA, pp. 487-490.
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Cao, L, Zhao, Y, Figueiredo, F, Ou, Y & Luo, D 1970, 'Mining High Impact Exceptional Behavior Patterns', 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, Nanjing, China, pp. 56-63.
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Luo, D, Cao, L, Ni, J & Liu, L 1970, 'Building Agent Service Oriented Multi-Agent Systems', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International KES Symposium on Agents and Multiagent systems - Technologies and Applications, Springer Berlin Heidelberg, 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, Recordkeeping informatics, Data mining and knowledge discovery, Information systems, technologies and services not elsewhere classified

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.