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DMKD
2004
ACM
167views Data Mining» more  DMKD 2004»
14 years 4 days ago
FP-tax: tree structure based generalized association rule mining
Data mining has been widely recognized as a powerful tool to explore added value from large-scale databases. One of data mining techniques, generalized association rule mining wit...
Iko Pramudiono, Masaru Kitsuregawa
ICDM
2002
IEEE
108views Data Mining» more  ICDM 2002»
13 years 11 months ago
Mining Association Rules from Stars
Association rule mining is an important data mining problem. It is found to be useful for conventional relational data. However, previous work has mostly targeted on mining a sing...
Eric Ka Ka Ng, Ada Wai-Chee Fu, Ke Wang
BIBE
2009
IEEE
210views Bioinformatics» more  BIBE 2009»
14 years 1 months ago
Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining
- The increase in autism prevalence has been the motivation for much research which has produced various theories for its causation. Genetic and environmental factors have been inv...
Christina Schweikert, Yanjun Li, David Dayya, Davi...
KBS
2002
88views more  KBS 2002»
13 years 6 months ago
Mining the optimal class association rule set
We define an optimal class association rule set to be the minimum rule set with the same predictive power of the complete class association rule set. Using this rule set instead o...
Jiuyong Li, Hong Shen, Rodney W. Topor
ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
14 years 3 hour ago
Interpretations of Association Rules by Granular Computing
This paper presents interpretations for association rules. It first introduces Pawlak’s method, and the corresponding algorithm of finding decision rules (a kind of association ...
Yuefeng Li, Ning Zhong