A Comparative Study of Web-pages Classification Methods using Fuzzy Operators Applied to Arabic Web-pages
نویسندگان
چکیده
In this study, a fuzzy similarity approach for Arabic web pages classification is presented. The approach uses a fuzzy term-category relation by manipulating membership degree for the training data and the degree value for a test web page. Six measures are used and compared in this study. These measures include: Einstein, Algebraic, Hamacher, MinMax, Special case fuzzy and Bounded Difference approaches. These measures are applied and compared using 50 different Arabic web-pages. Einstein measure was gave best performance among the other measures. An analysis of these measures and concluding remarks are drawn in this study. Keywords— Text classification, HTML, Web pages, Machine learning, Fuzzy logic, Arabic Web pages.
منابع مشابه
A Comparative Study of Web-pages Classification Methods using Fuzzy Operators Applied to Arabic Web-pages
In this study, a fuzzy similarity approach for Arabic web pages classification is presented. The approach uses a fuzzy term-category relation by manipulating membership degree for the training data and the degree value for a test web page. Six measures are used and compared in this study. These measures include: Einstein, Algebraic, Hamacher, MinMax, Special case fuzzy and Bounded Difference ap...
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