Detecting Arabic Spam Web pages through content analysis / Radwan Mohammed Ali Jaramh ; Supervised Ibrahim Farag Abdalrahman , Sherif Essam Eldin Khattab
Material type:
TextLanguage: 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]
- Issued also as CD
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Thesis
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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
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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 |
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| Cai01.20.03.M.Sc.2011.Ra.A Automated diagnosis of lexical errors for Arabic Language Learners / | Cai01.20.03.M.Sc.2011.Ra.A Automated diagnosis of lexical errors for Arabic Language Learners / | Cai01.20.03.M.Sc.2011.Ra.D Detecting Arabic Spam Web pages through content analysis / | Cai01.20.03.M.Sc.2011.Ra.D Detecting Arabic Spam Web pages through content analysis / | Cai01.20.03.M.Sc.2011.So.D DiReCT : Security extended FIPA multiagent platform / | Cai01.20.03.M.Sc.2011.So.D DiReCT : Security extended FIPA multiagent platform / | Cai01.20.03.M.Sc.2011.Wa.O An ontological driven framework for semantic web engineering / |
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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