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A Spam Filtering Method Learning from Web Browsing Behavior
http://hdl.handle.net/2298/14449
http://hdl.handle.net/2298/14449e2d72aa4-f65f-4437-afc8-0062bd8e77fc
名前 / ファイル | ライセンス | アクション |
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kes2008-is22-takashita-fina_r.pdf (898.9 kB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2010-03-19 | |||||
タイトル | ||||||
タイトル | A Spam Filtering Method Learning from Web Browsing Behavior | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ | conference paper | |||||
著者 |
高下, 大輝
× 高下, 大輝× 糸川, 剛× Kitasuka, Teruaki× Aritsugi, Masayoshi |
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別言語の著者 |
高下, 大輝
× 高下, 大輝× 糸川, 剛× 北須賀, 輝明× 有次, 正義 |
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内容記述 | ||||||
内容記述 | In this paper a spam filtering method is proposed. We focus on user behavior that most email users browse the Web. The method reduces troublesome maintenance of the spam filter, since the filter learns from Web browsing behavior in the background. The method uses Web browsing behavior of each user to learn ham words. Ham words are picked up from browsed Web pages using TF-IDF and stored in the database called ham words list. For each received email, the method extracts keywords from the email, including Web pages of the URLs. If some keywords are in the ham words list, the email is treated as a ham. In our experiments, several spam emails which cannot be detected by a Bayesian filter are detected as spams. | |||||
書誌情報 |
Knowledge-Based Intelligent Information and Engineering Systems 巻 5178, p. 774-781, 発行日 2008-09-20 |
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DOI | ||||||
関連タイプ | isVersionOf | |||||
関連識別子 | 10.1007/978-3-540-85565-1 | |||||
情報源(ISSN) | ||||||
関連名称 | 1611-3349 | |||||
フォーマット | ||||||
内容記述 | application/pdf | |||||
形態 | ||||||
898926 bytes | ||||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
日本十進分類法 | ||||||
主題 | 548 | |||||
出版者 | ||||||
出版者 | Springer Verlag (Germany) | |||||
資源タイプ | ||||||
内容記述 | 論文(Article) | |||||
資源タイプ・ローカル | ||||||
雑誌掲載論文 | ||||||
資源タイプ・NII | ||||||
Conference Paper | ||||||
資源タイプ・DCMI | ||||||
text | ||||||
資源タイプ・ローカル表示コード | ||||||
05 | ||||||
URL | ||||||
内容記述 | http://www.springerlink.com/content/1613j403161258p5/?p=7c77d411b23e44e6a3767b24506cdec0&pi=95 |