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VLDB
1995
ACM
163views Database» more  VLDB 1995»
14 years 17 days ago
An Efficient Algorithm for Mining Association Rules in Large Databases
Mining for a.ssociation rules between items in a large database of sales transactions has been described as an important database mining problem. In this paper we present an effic...
Ashok Savasere, Edward Omiecinski, Shamkant B. Nav...
IWPC
2003
IEEE
14 years 2 months ago
Facilitating Program Comprehension by Mining Association Rules from Source Code
Program comprehension is an important part of software maintenance, especially when program structure is complex and documentation is unavailable or outdated. Data mining can prod...
Christos Tjortjis, Loukas Sinos, Paul J. Layzell
WISE
2010
Springer
13 years 6 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
IDA
2006
Springer
13 years 9 months ago
Towards symbolic mining of images with association rules: Preliminary results on textures
This paper presents new textural features which are based on association rules. We give a texture representation, which is an appropriate formalism, that allows straightforward app...
Matjaz Bevk, Igor Kononenko
JCST
2008
119views more  JCST 2008»
13 years 9 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