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Detecting Arabic Spam Web pages through content analysis / Radwan Mohammed Ali Jaramh ; Supervised Ibrahim Farag Abdalrahman , Sherif Essam Eldin Khattab

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Radwan Mohammed Ali Jaramh , 2011Description: 78 Leaves : charts ; 30cmOther title:
  • كشف صفحات الانترنت العربية الغير مرغوب فيها من خلال تحليل المحتوى [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: In this thesis research we propose a set of new features to enhance the elassification of Arabic web pages into spam and non- spam under three classification algorithms namely decision tree naive bayes and logit boost . We compare our features which we call Arabic content analysis (ACA) features to state - of the art content analysis (CA) features for spam detection in the English web
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2011.Ra.D (Browse shelf(Opens below)) Not for loan 01010110057111000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2011.Ra.D (Browse shelf(Opens below)) 57111.CD Not for loan 01020110057111000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

In this thesis research we propose a set of new features to enhance the elassification of Arabic web pages into spam and non- spam under three classification algorithms namely decision tree naive bayes and logit boost . We compare our features which we call Arabic content analysis (ACA) features to state - of the art content analysis (CA) features for spam detection in the English web

Issued also as CD

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