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IADIS
2008
13 years 9 months ago
Fuzzy Association Rule Reduction Using Clustering In Som Neural Network
The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...
ICTAI
2007
IEEE
14 years 1 months ago
Exploratory Quantitative Contrast Set Mining: A Discretization Approach
Contrast sets have been shown to be a useful tool for describing differences between groups. A contrast set is a set of association rules for which the antecedents describe distin...
Mondelle Simeon, Robert J. Hilderman
SDM
2004
SIAM
163views Data Mining» more  SDM 2004»
13 years 9 months ago
Basic Association Rules
Previous approaches for mining association rules generate large sets of association rules. Such sets are difficult for users to understand and manage. Here, the concept of a restri...
Guichong Li, Howard J. Hamilton
PAKDD
1999
ACM
149views Data Mining» more  PAKDD 1999»
13 years 12 months ago
An Analysis of Quantitative Measures Associated with Rules
In this paper, we analyze quantitative measures associated with if-then type rules. Basic quantities are identified and many existing measures are examined using the basic quantit...
Yiyu Yao, Ning Zhong
FLAIRS
2003
13 years 9 months ago
An Improved Algorithm for Mining Association Rules Using Multiple Support Values
Almost all the approaches in association rule mining suggested the use of a single minimum support, technique that either rules out all infrequent itemsets or suffers from the bot...
Ioannis N. Kouris, Christos Makris, Athanasios K. ...