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» Association Rule Mining Algorithms for Set-Valued Data
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GIS
2006
ACM
15 years 10 months ago
Mining frequent geographic patterns with knowledge constraints
The large amount of patterns generated by frequent pattern mining algorithms has been extensively addressed in the last few years. In geographic pattern mining, besides the large ...
Luis Otávio Alvares, Paulo Martins Engel, S...
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
15 years 11 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
ACL
2009
14 years 7 months ago
Mining Association Language Patterns for Negative Life Event Classification
Negative life events, such as death of a family member, argument with a spouse and loss of a job, play an important role in triggering depressive episodes. Therefore, it is worth ...
Liang-Chih Yu, Chien-Lung Chan, Chung-Hsien Wu, Ch...
DATAMINE
2002
104views more  DATAMINE 2002»
14 years 9 months ago
Cubegrades: Generalizing Association Rules
Cubegrades are generalization of association rules which represent how a set of measures (aggregates) is affected by modifying a cube through specialization (rolldown), generaliza...
Tomasz Imielinski, Leonid Khachiyan, Amin Abdulgha...
KES
2004
Springer
15 years 3 months ago
A Comparison of Two Approaches to Data Mining from Imbalanced Data
Our objective is a comparison of two data mining approaches to dealing with imbalanced data sets. The first approach is based on saving the original rule set, induced by the LEM2 ...
Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon...