Detecting Arabic Spam Web pages through content analysis /
Radwan Mohammed Ali Jaramh
Detecting Arabic Spam Web pages through content analysis / كشف صفحات الانترنت العربية الغير مرغوب فيها من خلال تحليل المحتوى Radwan Mohammed Ali Jaramh ; Supervised Ibrahim Farag Abdalrahman , Sherif Essam Eldin Khattab - Cairo : Radwan Mohammed Ali Jaramh , 2011 - 78 Leaves : charts ; 30cm
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
Detecting Arabic Spam pages Web pages
Detecting Arabic Spam Web pages through content analysis / كشف صفحات الانترنت العربية الغير مرغوب فيها من خلال تحليل المحتوى Radwan Mohammed Ali Jaramh ; Supervised Ibrahim Farag Abdalrahman , Sherif Essam Eldin Khattab - Cairo : Radwan Mohammed Ali Jaramh , 2011 - 78 Leaves : charts ; 30cm
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
Detecting Arabic Spam pages Web pages