A Theoretical Framework for Association Mining based on the Boolean Retrieval Model-Reference-Cited by-同舟云学术

A Theoretical Framework for Association Mining based on the Boolean Retrieval Model

Published:2001 Issue: Volume: Page:21-30
ISSN:0302-9743
Container-title:Data Warehousing and Knowledge Discovery
language:
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Author:

Bollmann-Sdorra Peter,Hafez Alaaeldin M.,Raghavan Vijay V.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-44801-2_3

Reference19 articles.

1. R. Agrawal, T. Imilienski, and A. Swami, “Mining Association Rules between Sets of Items in Large Databases,” Proc. of the ACM SIGMOD Int’l Conf. On Management of data, May 1993

2. R. Agrawal, and R. Srikant, “Fast Algorithms for Mining Association Rules,” Proc. Of the 20th VLDB Conference, Santiago, Chile, 1994.

3. R. Agrawal, and P. Yu, “Parallel Mining of Association Rules,” IEEE Transactions on Knowledge and Data Engineering, Vol. 8, No, 6, Dec. 1996.

4. C. Agrawal, and P. Yu, “Mining Large Itemsets for Association Rules,” Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 1997.

5. A. Bookstein and W. Cooper, “A General Mathematical Model for Information Retrieval Systems,” Library Quarterly, 46(2), 153–167.

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