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Fifth International Conference on Hybrid Intelligent Systems (HIS'05)
Feature Selection with Decision Tree Criterion
Rio de Janeiro, Brazil
December 06-December 09
ISBN: 0-7695-2457-5
Krzysztof Grabczewski, Nicolaus Copernicus University Torun, Poland
Norbert Jankowski, Nicolaus Copernicus University Torun, Poland
Classification techniques applicable to real life data are more and more often complex hybrid systems comprising feature selection. To augment their efficiency we propose two feature selection algorithms, which take advantage of a decision tree criterion. Large computational experiments have been done to test the possibilities of the two methods and to compare their results with other techniques of similar goal.
Citation:
Krzysztof Grabczewski, Norbert Jankowski, "Feature Selection with Decision Tree Criterion," his, pp.212-217, Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005
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