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» Analysis of sampling techniques for association rule mining
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KDD
2001
ACM
181views Data Mining» more  KDD 2001»
14 years 7 months ago
Identifying non-actionable association rules
Building predictive models and finding useful rules are two important tasks of data mining. While building predictive models has been well studied, finding useful rules for action...
Bing Liu, Wynne Hsu, Yiming Ma
DMKD
2004
ACM
167views Data Mining» more  DMKD 2004»
14 years 23 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
BNCOD
2003
127views Database» more  BNCOD 2003»
13 years 8 months ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy
BIBE
2009
IEEE
210views Bioinformatics» more  BIBE 2009»
14 years 2 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...
KDD
2004
ACM
125views Data Mining» more  KDD 2004»
14 years 7 months ago
Differential Association Rule Mining for the Study of Protein-Protein Interaction Networks
Protein-protein interactions are of great interest to biologists. A variety of high-throughput techniques have been devised, each of which leads to a separate definition of an int...
Christopher Besemann, Anne Denton, Ajay Yekkirala,...