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Approach of Classification Based on Rough Set

  • Ying-juan Sun
  • Ying-hui Sun
  • Dong-bing Pu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 113)

Abstract

Propose a novel approach of classification based on rough set. Fully consider each condition attribute significance and classification object during making policy. It gets higher classification accuracy and less decision rules without attribute reduction by this approach. Experiments have proved its validity.

Keywords

Rough set Attribute significance Discretization Classification 

Notes

Acknowledgments

This paper is supported by (1) Project of Research on Science and Technology of Jilin Education Ministry of China under Grant No.2007-172 and 2010-383. (2) Science-technology Development Project of Jilin Province of China under Grant No. 20115056. (3) The Natural Science Foundation of Changchun Normal University. (4) The master and doctor launched project of Jilin Normal University.

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.College of Computer Science and Technology Changchun Normal UniversityChangchunChina
  2. 2.College of Computer Jilin Normal UniversitySipingChina
  3. 3.College of Computer Science and Information Technology Northeast Normal UniversityChangchunChina

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