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» Efficient Runtime Generation of Association Rules
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DKE
2007
119views more  DKE 2007»
13 years 7 months ago
Association rules mining using heavy itemsets
A well-known problem that limits the practical usage of association rule mining algorithms is the extremely large number of rules generated. Such a large number of rules makes the...
Girish Keshav Palshikar, Mandar S. Kale, Manoj M. ...
SIGMOD
2004
ACM
196views Database» more  SIGMOD 2004»
14 years 7 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...
SIGMOD
1997
ACM
148views Database» more  SIGMOD 1997»
13 years 11 months ago
Beyond Market Baskets: Generalizing Association Rules to Correlations
One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
Sergey Brin, Rajeev Motwani, Craig Silverstein
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 8 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
CORR
2010
Springer
214views Education» more  CORR 2010»
13 years 7 months ago
Hybrid Medical Image Classification Using Association Rule Mining with Decision Tree Algorithm
The main focus of image mining in the proposed method is concerned with the classification of brain tumor in the CT scan brain images. The major steps involved in the system are: p...
P. Rajendran, M. Madheswaran