Discovering Valuable Patterns through Internet Web-Log Access Analysis

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Author(s): Navin Kumar (University of Maryland Baltimore County, USA)and Aryya Gangopadhyay (University of Maryland Baltimore County, USA)
Copyright: 2003
Pages: 7
Source title: Information Technology & Organizations: Trends, Issues, Challenges & Solutions
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-066-0.ch235
ISBN13: 9781616921248
EISBN13: 9781466665330

Keywords: Information Science Reference / IT Research & Theory / IT Research and Theory / Library & Information Science

Abstract

This study outlines the usage of data mining techniques to analyze web log files. It shows the direction in which web mining can be performed to unearth concealed information in huge access log data. An attempt has been made to give an overview on how to derive association rules from web server data mining. Paper also discusses implementation of OLAP technology to perform web usage analysis.

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