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» Selective association rule generation
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 4 months ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...
BMCBI
2008
122views more  BMCBI 2008»
15 years 4 months ago
Generating samples for association studies based on HapMap data
Background: With the completion of the HapMap project, a variety of computational algorithms and tools have been proposed for haplotype inference, tag SNP selection and genome-wid...
Jing Li, Yixuan Chen
TKDE
2002
133views more  TKDE 2002»
15 years 3 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
SAC
2010
ACM
14 years 11 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
ADC
2003
Springer
162views Database» more  ADC 2003»
15 years 9 months ago
Automated Data Warehousing for Rule-based CRM Systems
This paper proposes a novel way of automatically developing data warehouse configuration in rule-based CRM systems. Rule-based CRM systems assume that marketing activities are re...
Han-joon Kim, Taehee Lee, Sang-goo Lee, Jonghun Ch...