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Domain-Driven Actionable Link Discovery

Funding: 2007: $75,000
2008: $75,000
2009: $75,000

Project Member(s): Cao, L.

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

Start year: 2007

Summary: Data mining is facing emergent application challenge in identifying rare and dispersed yet significant links in cross-organization data. Such isolated links may not be observed very often, but are indicative of potential threats or non-compliance when combined. We will develop domain-driven techniques and self-organizing, parallel link discovery algorithms to efficiently identify links of interest to business from vast scales of heterogeneous cross-organization transactions. The outcomes will be an intelligent agent-based system for actionable link mining. The results can benefit Australian security for instance counter-terrorism and enhance compliance such as cross-market surveillance or distributed fraudulent activities.

Publications:

Shao, J, Yin, J, Liu, W & Cao, L 2015, 'Mining Actionable Combined Patterns of High Utility and Frequency', Proceedings of the IEEE International Conference on Data Science and Advanced Analytics, IEEE International Conference on Data Science and Advanced Analytics, IEEE, Paris, pp. 1-10.
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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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Zhao, G, Xiong, Y, Cao, L, Luo, D, Su, X & Zhu, Y 2009, 'A Cost-Effective LSH Filter for Fast Pairwise Mining', ICDM 2009, The Ninth IEEE International Conference on Data Mining, IEEE International Conference on Data Mining, IEEE Computer Society, Miami, Florida, USA, pp. 1088-1093.
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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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Zhao, Y, Zhang, H, Cao, L, Zhang, C & Bohlscheid, H 2008, 'Combined Pattern Mining: from Learned Rules to Actionable Knowledge', AI 2008: Advances in Artificial Intelligence: Lecture Notes in Artificial Intelligence 5360, Australasian Joint Conference on Artificial Intelligence, Springer, Auckland, Newzealand, pp. 393-403.
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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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Ou, Y, Cao, L, Yu, T & Zhang, C 2007, 'Detecting Turning Points of Trading Price and Return Volatility for Market', Workshop on Agents & Data Mining Interaction (ADMI 2007), International Workshop on Agents and Data Mining Interaction, IEEE Computer Soc, San Jose, pp. 491-494.
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Keywords: link discovery, data mining, domain knowledge modelling, actionability, self organizing modelling, heterogeneous cross organization data,

FOR Codes: Information Storage, Retrieval and Management, Simulation and Modelling, Information processing services, Application tools and system utilities, Computer software and services not elsewhere classified, Records and Information Management (excl. Business Records and Information Management), Information Processing Services (incl. Data Entry and Capture)