Abstract
Web Usage Mining is the extraction of information from web log data. The extended web log file contains information about the user traffic and behavior, the browser type, its version and operating system used. Mining these web logs provide the origin of visit or the referring website and popular keywords used to access a website. This paper proposes an indiscernibility approach in rough set theory to extract information from extended web logs to identify the origin of visits and the keywords used to visit a web site which will lead to better design of websites and search engine optimization.
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Jose, J., Sojan Lal, P. (2013). Extracting Extended Web Logs to Identify the Origin of Visits and Search Keywords. In: Abraham, A., Thampi, S. (eds) Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32063-7_46
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DOI: https://doi.org/10.1007/978-3-642-32063-7_46
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