Analyzing Web Server Access Log Files Using Data Mining Techniques

Velkoski, Marjan and Martinovska, Cveta (2013) Analyzing Web Server Access Log Files Using Data Mining Techniques. In: International Conference on Applied Internet and Information Technologies.


Download (2959Kb) | Preview
Official URL:


Nowadays web is not only considered as a network for acquiring data, buying products and obtaining services but as a social environment for interaction and information sharing. As the number of web sites continues to grow it becomes more difficult for users to find and extract information. As a solution to that problem, during the last decade, web mining is used to evaluate the web sites, to personalize the information that is displayed to a user or set of users or to adapt the indexing structure of a web site to meet the needs of the users. In this work we describe a methodology for web usage mining that enables discovering user access patterns. Particularly we are interested whether the topology of the web site matches the desires of the users. Data collections that are used for analysis and interpretation of user viewing patterns are taken from the web server log files. Data mining techniques, such as classification, clustering and association rules are applied on preprocessed data. The intent of this research is to propose techniques for improvement of user perception and interaction with a web site.

Item Type: Conference or Workshop Item (Paper)
Subjects: Natural sciences > Computer and information sciences
Divisions: Faculty of Computer Science
Depositing User: Cveta Martinovska Bande
Date Deposited: 15 Jan 2014 13:59
Last Modified: 15 Jan 2014 13:59

Actions (login required)

View Item View Item