Combined Pattern Mining: From Learned Rules to Actionable Knowledge
Association mining often produces large collections of association rules that are difficult to understand and put into action. In this paper, we have designed a novel notion of combined patterns to extract useful and actionable knowledge from a large amount of learned rules. We also present definitions of combined patterns, design novel metrics to measure their interestingness and analyze the redundancy in combined patterns. Experimental results on real-life social security data demonstrate the effectiveness and potential of the proposed approach in extracting actionable knowledge from complex data.
KeywordsAssociation Rule Learned Rule Association Rule Mining Actionable Knowledge Customer Group
Unable to display preview. Download preview PDF.
- 1.Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proc. of the ACM SIGMOD International Conference on Management of Data, Washington, D.C., USA, May 1993, pp. 207–216 (1993)Google Scholar
- 4.Liu, B., Hsu, W.: Post-analysis of learned rules. In: Proceedings of the 13th National Conference on Artificial Intelligence (AAAI 1996), Portland, Oregon, USA, pp. 828–834 (August 1996)Google Scholar
- 5.Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining (KDD 1998), pp. 80–86. AAAI Press, Menlo Park (1998)Google Scholar