Abstract
In this paper, a method of automatically identifying topics for Web documents via a classification technique is proposed. Web documents tend to have unpredictable characteristics, i.e. differences in length, quality and authorship. Motivated by these fuzzy characteristics, we adopt the fuzzy association concept to classify,.the documents into some predefined categories or topics. The experimental results show that our approach yields higher classification accuracy compared to the vector space model. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Lei, J., Kang, Y., Lu, C., & Yan, Z. (2006). A Web-document classification approach based on fuzzy association concept. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3613 LNAI, pp. 388–391). Springer Verlag. https://doi.org/10.1007/11539506_50
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