TY  - BOOK
AU  - Yasmine Naseh Elmetwally Diab
AU  - Magda Bahaa Eldeen Fayek , 
AU  - Nevin Mahmoud Darwish , 
TI  - An evolutionary system for finding dominant scenarios via user profiles / 
PY  - 2010///
CY  - Cairo : 
PB  - Yasmine Naseh Elmetwally Diab , 
KW  - Ant Colony Clustering
KW  - Clustering
KW  - Genetic algorithm
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering; Issued also as CD
N2  - 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 )
ER  -