Web usage mining: Review on preprocessing of web log file

Abstract

Web log data is one of the major source which contain all the information regarding the users visited links browsing pattern, time spent on a particular page. A web server log file contain information about user name, ip address, date time, byte transferred, access request. A web log file range is 1kb to 100kb. Many interesting pattern available in web log data. But it is very complex process to extract the interesting pattern without preprocessed phase. Preprocessing step is used to give a reliable input for data mining task. In this paper we present the data preprocessing method for improving the efficiency & ease of mining process.

Authors and Affiliations

Sunita sharma , Ashu bansal

Keywords

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  • EP ID EP146583
  • DOI -
  • Views 96
  • Downloads 0

How To Cite

Sunita sharma, Ashu bansal (2013). Web usage mining: Review on preprocessing of web log file. International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 2(4), 1596-1600. https://europub.co.uk/articles/-A-146583