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.
Zhang, Xia; Yin, Yixin; and Yu, Haiyan
"An Application on Text Classification Based on Granular Computing,"
Communications of the IIMA: Vol. 7:
2, Article 1.
Available at: https://scholarworks.lib.csusb.edu/ciima/vol7/iss2/1