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DATAMINE
2007
101views more  DATAMINE 2007»
13 years 4 months ago
Using metarules to organize and group discovered association rules
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...
Abdelaziz Berrado, George C. Runger
IEEEICCI
2002
IEEE
13 years 9 months ago
Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization
Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...
Keith C. C. Chan, Wai-Ho Au, Berry Choi
CORR
2010
Springer
161views Education» more  CORR 2010»
13 years 4 months ago
Database Reverse Engineering based on Association Rule Mining
Maintaining a legacy database is a difficult task especially when system documentation is poor written or even missing. Database reverse engineering is an attempt to recover high-...
Nattapon Pannurat, Nittaya Kerdprasop, Kittisak Ke...
PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
13 years 8 months ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
SIGMOD
2004
ACM
196views Database» more  SIGMOD 2004»
14 years 4 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...