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العنوان
Developing An Intelligent Technique For Web Mining :
المؤلف
Ead, Waleed Mahmoud El-sayed.
هيئة الاعداد
باحث / Waleed Mahmoud El-SayedEad
مشرف / Waiel F. Abd El-Wahed
مشرف / HatemsayedAbdulkader
مناقش / Mohiy M. Hadhoud
الموضوع
Data mining. Web databases.
تاريخ النشر
2012 .
عدد الصفحات
137 p. ;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Information Systems
تاريخ الإجازة
29/7/2012
مكان الإجازة
جامعة المنوفية - كلية الحاسبات والمعلومات - Information Systems
الفهرس
Only 14 pages are availabe for public view

from 145

from 145

Abstract

The last have been characterized by an exponential growth both of the number of online Available Web applications and of the number of their users. The expansion of the World Wide Web (Web for short) has resulted in a large amount of data that are collected on the servers of the web sites. from these data, various types of information can be derived, such as information about frequently visited pages or page sets, user navigational patterns, behavior of different user groups etc. For this reason web mining techniques are adapted to the data originated from the internet as well, and new difficulties are raised that have to be solved in an efficient way. The information about association rules obtained from web log data, can help detecting pages which are visited together even if they are not directly connected, thus revealing associations between groups of users sharing a specific interest. This information can be used when restructuring Web sites be adding links between those pages that are visited together