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DKE
2007
89views more  DKE 2007»
13 years 4 months ago
The effect of threshold values on association rule based classification accuracy
Classification Association Rule Mining (CARM) systems operate by applying an Association Rule Mining (ARM) method to obtain classification rules from a training set of previousl...
Frans Coenen, Paul H. Leng
ICDM
2005
IEEE
130views Data Mining» more  ICDM 2005»
13 years 10 months ago
Obtaining Best Parameter Values for Accurate Classification
In this paper we examine the effect that the choice of support and confidence thresholds has on the accuracy of classifiers obtained by Classification Association Rule Mining. ...
Frans Coenen, Paul H. Leng
MLDM
2008
Springer
13 years 4 months ago
Classification Based on Consistent Itemset Rules
Abstract. We propose an approach to build a classifier composing consistent (100% confident) rules. Recently, associative classifiers that utilize association rules have been widel...
Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
ICMLA
2008
13 years 6 months ago
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Jun Won Lee, Christophe G. Giraud-Carrier
ICMCS
2009
IEEE
275views Multimedia» more  ICMCS 2009»
13 years 2 months ago
Video semantic concept detection via associative classification
Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC alg...
Lin Lin, Mei-Ling Shyu, Guy Ravitz, Shu-Ching Chen