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Discovering Valuable Patterns through Internet Web-Log Access Analysis
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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