Yasmine Naseh Elmetwally Diab <br/><br/>
An evolutionary system for finding dominant scenarios via user profiles /  
 نظام متطور لايجاد السيناريوهات المسيطرة عبر التشكيلات الجانبية للمستخدم فى سجلات الويب 
Yasmine Naseh Elmetwally Diab ; Supervised Nevin M. Darwish , Magda B. Fayek 
 - Cairo :   Yasmine Naseh Elmetwally Diab ,   2010 
 - 122P. :   charts , facsimiles ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering 
<br/><br/> 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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<br/><br/><label>Subjects--Index Terms: </label>Ant Colony Clustering  Clustering  Genetic algorithm