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An Empirical Analysis of Arabic WebPages Classification using Fuzzy Operators
| Content Provider | Semantic Scholar |
|---|---|
| Author | Al-Taani, Ahmad T. Alawad, Noor Aldeen |
| Copyright Year | 2009 |
| Abstract | 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 documents, Web pages, Machine learning, Fuzzy logic, Arabic Web pages. |
| Starting Page | 671 |
| Ending Page | 676 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| Volume Number | 3 |
| Alternate Webpage(s) | http://waset.org/publications/15082/an-empirical-analysis-of-arabic-webpages-classification-using-fuzzy-operators |
| Alternate Webpage(s) | http://www.waset.org/journals/waset/v27/v27-141.pdf |
| Alternate Webpage(s) | http://oaj.unsri.ac.id/files/waset/v5-1-4-3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |