AN EFFICIENT WEB USAGE MINING ALGORITHM BASED
ON LOG FILE DATA
الباحث الأول:
Ahmed J. Obaid , Dr. Tawfiq Al-asadi
المجلة:
Journal of Theoretical and Applied Information Technology
تاريخ النشر:
None
مختصر البحث:
Information on Internet and specially on website environment is increasing rapidly day by day and become
very huge, this information play an important role for discovering various knowledge in the Web. Web
Usage Mining one of the Web Mining algori…
Information on Internet and specially on website environment is increasing rapidly day by day and become
very huge, this information play an important role for discovering various knowledge in the Web. Web
Usage Mining one of the Web Mining algorithm categories that concern with discover and analysis useful
information regard to link prediction, users' navigation, customers' behavior, site reorganization, web
personalization and frequent access patterns from large web data that logs by Web server side and stored in
standard text log file format called log file or Web usage data, this data can also be collected from an
organization's database such as NASA. Web Usage Mining is a process of applying Data mining techniques
and application to analyze and discover interesting knowledge from the Web. There are several existing
research works on log file mining, some concern with web site structure, traversal pattern mining,
association rule mining, Web page classification, and general statistics such as amount of time spent on a
page. In this paper we will focus on mining the different segments content of Web log data entries in order
to discover the hidden information and interesting browsing contents from it, then applying clustering
algorithm to find similar groups of Web sites that have common browsing contents.
