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» Identifying non-actionable association rules
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DSS
2007
127views more  DSS 2007»
13 years 8 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
JCST
2008
119views more  JCST 2008»
13 years 8 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
TKDE
2002
133views more  TKDE 2002»
13 years 8 months ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
14 years 29 days 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...
DBSEC
2010
126views Database» more  DBSEC 2010»
13 years 10 months ago
Mining Likely Properties of Access Control Policies via Association Rule Mining
Abstract. Access control mechanisms are used to control which principals (such as users or processes) have access to which resources based on access control policies. To ensure the...
JeeHyun Hwang, Tao Xie, Vincent C. Hu, Mine Altuna...