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JUCS
2006
102views more  JUCS 2006»
13 years 7 months ago
Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table
Abstract: In this paper, we survey efforts devoted to discovering interesting exceptions from data in data mining. An exception differs from the rest of data and thus is interestin...
Einoshin Suzuki
ICDM
2003
IEEE
115views Data Mining» more  ICDM 2003»
14 years 23 days ago
A new optimization criterion for generalized discriminant analysis on undersampled problems
Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun...
PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
14 years 25 days ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb
KDD
2004
ACM
112views Data Mining» more  KDD 2004»
14 years 7 months ago
A rank sum test method for informative gene discovery
Finding informative genes from microarray data is an important research problem in bioinformatics research and applications. Most of the existing methods rank features according t...
Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee
IDA
2000
Springer
13 years 7 months ago
Reducing redundancy in characteristic rule discovery by using integer programming techniques
The discovery of characteristic rules is a well-known data mining task and has lead to several successful applications. However, because of the descriptive nature of characteristic...
Tom Brijs, Koen Vanhoof, Geert Wets