The Process of Data Preprocessing for Web Usage Data Mining through a Complete Example

Dinuca Claudia Elena ()
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Dinuca Claudia Elena: University of Craiova, Faculty of Economics and Business Administration

Ovidius University Annals, Economic Sciences Series, 2011, vol. XI, issue 1, 610-612

Abstract: Nowadays, using data mining techniques to extract knowledge from web log files has became a necessity. The behavior of Internet users can be found in the log files stored on Internet servers. Analyzing data obtained from web server logs is rapidly becoming one of the most important activities for companies in any sector as most businesses become e-businesses. Web log analysis can improve business firms that are based on a Web site through learning user behavior. This understanding can then be utilized for improving customer satisfaction with the web site and the company in general, yielding a huge business advantage. Before the actual analizing of the data, it must have a specific format. This paper describes the effective and complete preprocessing of access stream before actual mining process can be performed using an example.

Keywords: Web logs; clickstream analysis; Web usage mining; Data Preprocessing. (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:ovi:oviste:v:11:y:2011:i:1:p:610-612

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