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SIGMOD
2004
ACM
196views Database» more  SIGMOD 2004»
16 years 1 months ago
FARMER: Finding Interesting Rule Groups in Microarray Datasets
Microarray datasets typically contain large number of columns but small number of rows. Association rules have been proved to be useful in analyzing such datasets. However, most e...
Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Ji...
BMCBI
2007
147views more  BMCBI 2007»
15 years 1 months ago
Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining
Background: Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Althoug...
Xochitl C. Morgan, Shulin Ni, Daniel P. Miranker, ...
ICDE
2007
IEEE
209views Database» more  ICDE 2007»
15 years 7 months ago
Hierarchical Temporal Association Mining for Video Event Detection in Video Databases
With the proliferation of multimedia data and evergrowing requests for multimedia applications, new challenges are emerged for efficient and effective managing and accessing large...
Min Chen, Shu-Ching Chen, Mei-Ling Shyu
SDM
2004
SIAM
271views Data Mining» more  SDM 2004»
15 years 2 months ago
A Foundational Approach to Mining Itemset Utilities from Databases
Most approaches to mining association rules implicitly consider the utilities of the itemsets to be equal. We assume that the utilities of itemsets may differ, and identify the hi...
Hong Yao, Howard J. Hamilton, Cory J. Butz
ESWA
2006
139views more  ESWA 2006»
15 years 1 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee