期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 5, 页码 5947-5957出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.11.028
关键词
Feature selection; Filters; Classification; Discretization; KDD Cup 99 dataset
类别
资金
- Spanish Ministerio de Ciencia e Innovacion [TIN 2006-02402]
- European Union
In this work, a new method consisting of a combination of discretizers, filters and classifiers is presented. Its aim is to improve the performance results of classifiers but using a significantly reduced set of features. The method has been applied to a binary and to a multiple class classification problem. Specifically, the KDD Cup 99 benchmark was used for testing its effectiveness. A comparative study with other methods and the KDD winner was accomplished. The results obtained showed the adequacy of the proposed method, achieving better performance in most cases while reducing the number of features in more than 80%. (C) 2010 Elsevier Ltd. All rights reserved.
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