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» Mining Fuzzy Weighted Association Rules
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WISE
2010
Springer
13 years 3 months ago
Neighborhood-Restricted Mining and Weighted Application of Association Rules for Recommenders
Abstract. Association rule mining algorithms such as Apriori were originally developed to automatically detect patterns in sales transactions and were later on also successfully ap...
Fatih Gedikli, Dietmar Jannach
DATAMINE
2006
131views more  DATAMINE 2006»
13 years 5 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
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
14 years 7 days ago
Mining Allocating Patterns in One-Sum Weighted Items
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction d...
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y...
ICEIS
2009
IEEE
14 years 13 days ago
NARFO Algorithm: Mining Non-redundant and Generalized Association Rules Based on Fuzzy Ontologies
Traditional approaches for mining generalized association rules are based only on database contents, and focus on exact matches among items. However, in many applications, the use ...
Rafael Garcia Miani, Cristiane A. Yaguinuma, Maril...
CIKM
1997
Springer
13 years 10 months ago
Mining Fuzzy Association Rules
Keith C. C. Chan, Wai-Ho Au