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KDD
1998
ACM
136views Data Mining» more  KDD 1998»
13 years 9 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
AIR
2004
91views more  AIR 2004»
13 years 5 months ago
A Personalized Defection Detection and Prevention Procedure based on the Self-Organizing Map and Association Rule Mining: Applie
Abstract. Customer retention is an increasingly pressing issue in today's competitive environment. This paper proposes a personalized defection detection and prevention proced...
Hee Seok Song, Jae Kyeong Kim, Yeong Bin Cho, Soun...
JCST
2008
119views more  JCST 2008»
13 years 5 months ago
Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
Daniel Kunkle, Donghui Zhang, Gene Cooperman
KDD
2002
ACM
214views Data Mining» more  KDD 2002»
14 years 6 months ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton
IRI
2007
IEEE
13 years 12 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin