Hierarchical grouping of association rules and its application to a real-world domain

Author:

An A.,Khan S.,Huang X.

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Reference19 articles.

1. Adomavicius, G and Tuzhilin, A. 2001. Expert-driven validation of rule-based user models in personalization applications. Data Mining and Knowledge Discovery. January/April52001.

2. Agrawal, R, Imielinski, T and Swami, A. 1993. Mining associations between sets of items in massive databases. Proceedings of the ACM-SIGMOD 1993 International Conference on Management of Data. 1993, Washington, DC. pp.207–216.

3. Agrawal, R and Srikant, R. 1994. Fast algorithms for mining association rules. Proc. of the 20th International Conference on Very Large Databases. September1994, Santiago, Chile.

4. Blanchard, J, Guillet, F, Gras, R and Briand, H. 2005. Using information-theoretic measures to assess association rule interestingness. Proceedings of the 2005 IEEE International Conference on Data Mining (ICDM'05). 2005, New Orleans, Louisiana, USA.

5. Cristofor, L and Simovici, D. Generating an informative cover for association rules. Technical Report TR-02-01. Boston, MA: Department of Computer Science, University of Massachusetts at Boston.

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