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» Hiding Sensitive Patterns in Association Rules Mining
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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
SDM
2011
SIAM
230views Data Mining» more  SDM 2011»
12 years 10 months ago
Multidimensional Association Rules in Boolean Tensors
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, J...
ACMSE
2007
ACM
13 years 11 months ago
Finding association rules of cis-regulatory elements involved in alternative splicing
Alternative splicing (AS) is a major mechanism to generate protein diversity. A single gene might generate hundreds or even thousands of different proteins. Recently, powerful lar...
Jihye Kim, Sihui Zhao, Steffen Heber
AI
2003
Springer
14 years 24 days ago
Efficient Mining of Indirect Associations Using HI-Mine
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
Qian Wan, Aijun An
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
13 years 11 months ago
Using Association Rules for Product Assortment Decisions: A Case Study
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...