Comprehensive data warehouse exploration with qualified association-rule mining-Reference-Cited by-同舟云学术

Comprehensive data warehouse exploration with qualified association-rule mining

Published:2006-11 Issue:2 Volume:42 Page:859-878
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Jukić Nenad,Nestorov Svetlozar

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference28 articles.

1. Fast algorithms for mining association rules;Agrawal,1994

2. Mining association rules between sets of items in large databases;Agrawal,1993

3. R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, A. Verkamo, Fast Discovery of Association Rules, in: U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy (Eds.) Advances in Knowledge Discovery and Data Mining, AAAI/MIT Press, Menlo Park, CA, 1996, pp. 307–326.

4. Data mining techniques for marketing;Berry,1997

5. The ‘‘DGX’’ distribution for mining massive, skewed data;Bi,2001

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