Irrelevant feature and rule removal for structural associative classification
In the classification task, the presence of irrelevant features can significantly degrade the performance of classification algorithms,in terms of additional processing time, more complex models and the likelihood that the models have poor generalization power due to the over fitting problem.Practi...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Utara Malaysia
2015
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/14313/1/95-110.pdf http://repo.uum.edu.my/14313/ http://jict.uum.edu.my |
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