Statistical Pruning of Discovered Association Rules-Reference-Cited by-同舟云学术

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Statistical Pruning of Discovered Association Rules

Published:2001-09 Issue:3 Volume:16 Page:387-398
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Computational Statistics

Author:

Bruzzese Dario,Davino Cristina

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s001800100074.pdf

Reference9 articles.

1. Agrawal, R., Imielinski, T. & Swami, A. (1993), ‘Mining Association Rules between Sets of Items in Large Databases’, Proceedings of the 1993 ACM SIGMOD Conference, May, Washington DC, USA, 207–216.

2. Bayardo, R.J.Jr., Agrawal, R. (1999), ‘Mining the Most Interesting Rules’, Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 145–154.

3. Klemettinen, M., Mannila, H., Ronkainen, P., Toivonen, H., & Verkamo, A.I. (1994), ‘Finding interesting rules from large sets of discovered association rules’, Proceedings of the Third International Conference on Information and Knowledge Management CIKM-94, 401–407.

4. Liu, B., Hsu, W. & Ma, Y. (1999), ‘Pruning and Summarizing the Discovered Associations’, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-99), August 15–18, San Diego, CA, USA.

5. Liu, B., Hsu, W., Wang, K. & Chen, S. (1999), ‘Visually Aided Exploration Interesting Association Rules’, Proceedings of the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99), April 26–28, Beijing.

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