A new and versatile method for association generation-Reference-Cited by-同舟云学术

A new and versatile method for association generation

Published:1997 Issue: Volume: Page:221-231
ISSN:0302-9743
Container-title:Principles of Data Mining and Knowledge Discovery
language:
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Author:

Amir Amihood,Feldman Ronen,Kashi Reuven

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-63223-9_121.pdf

Reference14 articles.

1. R. Agrawal, T. Imielinski, and A. Swami. Database mining: a performance perspective. IEEE Trans. Knowledge and Data Engineering, 5(6):914–925, 1993.

2. R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In Proc. ACM SIGMOD, pages 207–216, Washington, DC, May 1993.

3. R. Agrawal and R. Srikant. Fast algorithms for mining association rules in large databases. In Proc. 20th Int'l Conf. on VLDB, Santiago, Chile, Aug 1994.

4. R. Feldman, A. Amir, Y. Aumann, A. Zilberstein, and H. Hirsh. Incremental algorithms for association generation. to appear, First Pacific Conference on Knowledge Discovery, July 1996.

5. R. Feldman and I. Dagan. Knowledge discovery in textual databases. Proc. 1st Intl. Conf. on Knowledge Discovery and Data Mining, pages 112–117, 1995.

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