An Application on Text Classification Based on Granular Computing

Authors

Xia Zhang, School of Information Engineering University of Science and Technology Beijing
Yixin Yin, School of Information Engineering University of Science and Technology Beijing
Haiyan Yu, School of Economics and Management University of Science and Technology Beijing

Abstract

Machine learning is the key to text classification, a granular computing approach to machine learning is applied to learning classification rules by considering the two basic issues: concept formation and concept relationships identification. In this paper, we concentrate on the selection of a single granule in each step to construct a granule network. A classification rule induction method is proposed.

Recommended Citation

Zhang, Xia; Yin, Yixin; and Yu, Haiyan (2007) "An Application on Text Classification Based on Granular Computing," Communications of the IIMA: Vol. 7: Iss. 2, Article 1.
DOI: https://doi.org/10.58729/1941-6687.1029
Available at: https://scholarworks.lib.csusb.edu/ciima/vol7/iss2/1