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» Association rules mining using heavy itemsets
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AUSAI
2004
Springer
14 years 2 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
ICDM
2007
IEEE
206views Data Mining» more  ICDM 2007»
14 years 5 months ago
A Novel Rule Weighting Approach in Classification Association Rule Mining
Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using Classificat...
Yanbo J. Wang, Qin Xin, Frans Coenen
BMCBI
2006
114views more  BMCBI 2006»
13 years 11 months ago
Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle
Background: AMP-activated protein kinase (AMPK) has emerged as a significant signaling intermediary that regulates metabolisms in response to energy demand and supply. An investig...
Qingfeng Chen, Yi-Ping Phoebe Chen
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
14 years 2 months ago
Efficient Detection of Local Interactions in the Cascade Model
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
Takashi Okada
JISE
2007
171views more  JISE 2007»
13 years 10 months ago
Association Thesaurus Construction for Interactive Query Expansion Based on Association Rule Mining
This paper presents an interactive query expansion method with association thesaurus, which is mined from the ‘selected web pages’ of users in the query logs. The ‘selected w...
Hahn-Ming Lee, Chi-Chun Huang, Chun-Yen Chao