Extracting Extended Web Logs to Identify the Origin of Visits and Search Keywords

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 182)

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.

Keywords

Web Usage Mining Extended Web Log Keyword Search 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.BPC CollegePiravomIndia
  2. 2.School of Computer ScienceMahatma Gandhi UniversityKottayamIndia

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