Soft computing techniques in mining web data for e-commerce applications / Waleed Ahmed Abdelerahman ; Supervised Sanaa Elola Hanafi , Neamat Elgayar
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TextLanguage: English Publication details: Cairo : Waleed Ahmed Abdelrahman , 2014Description: 77 Leaves : 30cmOther title: - تقنيات الحسابات المرنة في التنقيب في بيانات الويب لتطبيقات التجارة الاليكترونية [Added title page title]
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.20.01.M.Sc.2014.Wa.S (Browse shelf(Opens below)) | Not for loan | 01010110063840000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.20.01.M.Sc.2014.Wa.S (Browse shelf(Opens below)) | 63840.CD | Not for loan | 01020110063840000 |
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| Cai01.20.01.M.Sc.2014.Wa.I Intelligent computer aided diagnosis system for liver fibrosis / | Cai01.20.01.M.Sc.2014.Wa.I Intelligent computer aided diagnosis system for liver fibrosis / | Cai01.20.01.M.Sc.2014.Wa.S Soft computing techniques in mining web data for e-commerce applications / | Cai01.20.01.M.Sc.2014.Wa.S Soft computing techniques in mining web data for e-commerce applications / | Cai01.20.01.M.Sc.2015.Ah.M Machine learning based spectrum sensing techniques in cognitive radio / | Cai01.20.01.M.Sc.2015.Ah.M Machine learning based spectrum sensing techniques in cognitive radio / | Cai01.20.01.M.Sc.2015.Ah.P A proposed routing protocol for wireless sensor networks / |
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information- Department of Information Technology
E-commerce can be improved by mining customer navigation patterns and providing recommendations for web pages or products that customer may be interested in. This emerges the need for a process that recommends the customized Web presentations or predicts the tailored Web contents to Web users according to their specific tastes or preferences. This process is called web recommendation or personalization. In this work, we aim to address improving the performance of Web recommendation through developing and employing Web data mining methods
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