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» Mining for Mutually Exclusive Items in Transaction Databases
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ICAI
2003
13 years 8 months ago
Mining Generalized Sequential Patterns Using Genetic Programming
We propose a new kind of sequential pattern which we call Generalized Sequential Pattern, and we introduce the problem of mining generalized sequential patterns over temporal datab...
Sandra de Amo, Ary dos Santos Rocha Jr.
VLDB
1995
ACM
163views Database» more  VLDB 1995»
13 years 11 months 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...
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
13 years 9 months ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...
ICDT
2009
ACM
119views Database» more  ICDT 2009»
14 years 8 months ago
Analysis of sampling techniques for association rule mining
In this paper, we present a comprehensive theoretical analysis of the sampling technique for the association rule mining problem. Most of the previous works have concentrated only...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Yogi...
CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 7 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