Unsupervised Spam Detection based on String Alienness Measures

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DOI Technical Report || 229 || p1-9

http://www.i.kyushu-u.ac.jp/research/report.html

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Summary, etc.：: We propose an unsupervised method for detecting spam documents from Web page data, based on equivalence relations on strings. We propose 3 measures fo...

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Material Type: 文書・図像類
Title: Unsupervised Spam Detection based on String Alienness Measures
Author/Editor: 成澤, 和志
坂内, 英夫
畑埜, 晃平
竹田, 正幸
Author Heading: 成澤, 和志
坂内, 英夫
畑埜, 晃平
竹田, 正幸
Publication, Distribution, etc.: Department of Informatics, Kyushu University
Publication Date: 2007-01
Publication Date (W3CDTF): 2007-01
Periodical title: DOI Technical Report
No. or year of volume/issue: 229
Volume: 229
Text Language Code: eng
Subject Heading: Spam Detection
Equivalence Class
Target Audience: 一般
Access Restrictions: インターネット公開
Related Material: DOI Technical Report || 229 || p1-9
http://www.i.kyushu-u.ac.jp/research/report.html
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 九州大学 : 九州大学学術情報リポジトリ