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» Mining the optimal class association rule set
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SIGMOD
2004
ACM
196views Database» more  SIGMOD 2004»
14 years 9 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...
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
14 years 9 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
ICDM
2007
IEEE
134views Data Mining» more  ICDM 2007»
14 years 3 months ago
On Regional Association Rule Scoping
A special challenge for spatial data mining is that information is not distributed uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamen...
Wei Ding 0003, Christoph F. Eick, Xiaojing Yuan, J...
ICDE
2004
IEEE
87views Database» more  ICDE 2004»
14 years 10 months ago
On Local Pruning of Association Rules Using Directed Hypergraphs
In this paper we propose an adaptive local pruning method for association rules. Our method exploits the exact mapping between a certain class of association rules, namely those w...
Sanjay Chawla, Joseph G. Davis, Gaurav Pandey
KDD
2005
ACM
89views Data Mining» more  KDD 2005»
14 years 9 months ago
Mining risk patterns in medical data
In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemi...
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen...