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JUCS
2010
176views more  JUCS 2010»
14 years 9 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying
82
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IADIS
2008
15 years 11 days 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...
103
Voted
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
15 years 9 days ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
100
Voted
VLDB
1991
ACM
126views Database» more  VLDB 1991»
15 years 2 months ago
Deriving Production Rules for Incremental View Maintenance
It is widely recognized that production rules in database systems can be used to automatically maintain derived data such as views. However, writing a correct set of rules for e ci...
Stefano Ceri, Jennifer Widom
90
Voted
CORR
2008
Springer
115views Education» more  CORR 2008»
14 years 11 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik