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IADIS
2008
13 years 11 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...
DATAMINE
2006
131views more  DATAMINE 2006»
13 years 10 months ago
A systematic approach to the assessment of fuzzy association rules
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the li...
Didier Dubois, Eyke Hüllermeier, Henri Prade
ADMA
2008
Springer
186views Data Mining» more  ADMA 2008»
14 years 4 months ago
A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
Chunhua Su, Kouichi Sakurai
HAIS
2009
Springer
14 years 2 months ago
Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness
Abstract. Data Mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binaryvalued transactions, however the d...
Nicolò Flugy Papè, Jesús Alca...
JIS
2007
95views more  JIS 2007»
13 years 10 months ago
Combined association rules for dealing with missing values
With the rapid increase in the use of databases, the problem of missing values inevitably arises. The techniques developed to effectively recover these missing values should be hi...
Jau-Ji Shen, Chin-Chen Chang, Yu-Chiang Li