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» Mining unexpected multidimensional rules
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PKDD
1999
Springer
118views Data Mining» more  PKDD 1999»
13 years 11 months ago
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
Alexandr A. Savinov
CIKM
1999
Springer
13 years 11 months ago
Mining Inter-Transaction Associations with Templates
Multi-dimensional, inter-transaction association rules extend the traditional association rules to describe more general associations among items with multiple properties cross tr...
Ling Feng, Hongjun Lu, Jeffrey Xu Yu, Jiawei Han
ICDM
2003
IEEE
102views Data Mining» more  ICDM 2003»
14 years 23 days ago
Bootstrapping Rule Induction
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King
SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
13 years 9 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 8 months ago
Similarity Search in Sets and Categorical Data Using the Signature Tree
Data mining applications analyze large collections of set data and high dimensional categorical data. Search on these data types is not restricted to the classic problems of minin...
Nikos Mamoulis, David W. Cheung, Wang Lian