A Study of Web Log Analysis Using Clustering Techniques

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Big Data
Format: PDF
Web usage mining is the area of web mining which deals with the extraction of interesting knowledge from web log information produced by web servers. Web usage mining techniques can be applied for web log analysis. Web access data, traditionally, are stored in the server log files. Several web usage mining approaches have been presented for exposing usage patterns with the most prominent ones being clustering, association rule, and sequential pattern mining. In this paper, three different algorithms are reviewed for generating clusters.
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