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Application specific web log pre-processing

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Author(s): Ravindra Gupta | Prateek Gupta

Journal: International Journal of Computer Technology and Applications
ISSN 2229-6093

Volume: 03;
Issue: 01;
Start page: 160;
Date: 2012;
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ABSTRACT
Web Usage Mining discovers interesting patterns in accesses to various Web pages within the Web space associated with a particular server. The Web Usage Mining architecture divides the process into two main parts- the first part includes pre-processing, transaction identification, and data integration components. The second part includes the largely domain independent application of generic data mining and pattern matching. Nearly 80% of mining efforts often spend to improve the quality of data. All application removes error log, css file log etc., but pre-processing also depends on application. This paper presents customized web log pre-processing which reduces size of logs to be mined
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