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An evolutionary system for finding dominant scenarios via user profiles / Yasmine Naseh Elmetwally Diab ; Supervised Nevin M. Darwish , Magda B. Fayek

By: Contributor(s): Material type: TextTextLanguage: eng Publication details: Cairo : Yasmine Naseh Elmetwally Diab , 2010Description: 122P. : charts , facsimiles ; 30cmOther title:
  • نظام متطور لايجاد السيناريوهات المسيطرة عبر التشكيلات الجانبية للمستخدم فى سجلات الويب [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: This work presents an evolutionary system for finding optimal clusters of users' access patterns in web log files without knowing the number of clusters in advance . The heart of the system is a new iterative Evolutionary System for Finding Dominant Scenarios via User Profiles (ESYFind) . It is an iterative system that is based on enhanced versions of two clustering algorithms ; Enhanced Ant Tree No Threshold (EATNT ) and Enhanced Genetic K - means Clustering Algorithms (EGKA )
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2010.Ya.E (Browse shelf(Opens below)) Not for loan 01010110053171000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2010.Ya.E (Browse shelf(Opens below)) 53171.CD Not for loan 01020110053171000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

This work presents an evolutionary system for finding optimal clusters of users' access patterns in web log files without knowing the number of clusters in advance . The heart of the system is a new iterative Evolutionary System for Finding Dominant Scenarios via User Profiles (ESYFind) . It is an iterative system that is based on enhanced versions of two clustering algorithms ; Enhanced Ant Tree No Threshold (EATNT ) and Enhanced Genetic K - means Clustering Algorithms (EGKA )

Issued also as CD

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