An evolutionary system for finding dominant scenarios via user profiles / Yasmine Naseh Elmetwally Diab ; Supervised Nevin M. Darwish , Magda B. Fayek
Material type: TextLanguage: 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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Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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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 | 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 |
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Cai01.13.06.M.Sc.2010.Sa.A An adaptive aging operator for genetic algorithms - based compiler optimization / | Cai01.13.06.M.Sc.2010.Sa.A An adaptive aging operator for genetic algorithms - based compiler optimization / | Cai01.13.06.M.Sc.2010.Ya.E An evolutionary system for finding dominant scenarios via user profiles / | Cai01.13.06.M.Sc.2010.Ya.E An evolutionary system for finding dominant scenarios via user profiles / | Cai01.13.06.M.Sc.2011.Al.F A fast edge - based Arabic sign language recognition using probabilistic neural network (Arabic sign to voice) / | Cai01.13.06.M.Sc.2011.Al.F A fast edge - based Arabic sign language recognition using probabilistic neural network (Arabic sign to voice) / | Cai01.13.06.M.Sc.2011.Ay.N New parallel paging scheme under paging delay and bandwidth constraints for mobile networks / |
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 )
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