A new approach for user identification in web usage mining preprocessing

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 11, Issue 3

Abstract

 Web usage mining is a subset of data mining. In order to huge amount of data but the data is less appropriates “quantity and quality” of the web data is opposite to each other this is the main problem. Web  data usage Mining is a variation of this field is untapped source of richly offered free textual information. The  importance of web data usage mining is mounting along with the immense volumes of data generated in web  habitual existence data always arrives in a various, continuous, rapid and time varying flow. Web data usage mining taking out procedures are important in extracting useful streaming on-line sources. As throughout the  globe no. of web users are continuously and rapidly growing, it is necessary for the web usage miners to utilize  efficient tools in order to discover, extort, clean and assess the desired information. The data pre-processing  stage is the most important phase in the preprocessing for investigation of the web user & his usage behavior.  To fulfill this requirement the navigations are recorded in web log file as well as the IP address of the website, session of usage & visited web link. In order to improve the performance & quality of data preprocessing in order to identify unique users and user sessions. We propose a new method for web data preprocessing in which it has three phases. “In the first phase some websites are selected and by different locations access these  website & by applying the (java) tools & methods then find out the IP address of that websites, session usage  time & navigations, in the final phase combine them i.e.(web link navigation + IP address of website + session  of usage ). This framework helps to investigate the web user usage behavior efficiently.

Authors and Affiliations

Arvind Dangi

Keywords

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  • EP ID EP93406
  • DOI -
  • Views 113
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How To Cite

Arvind Dangi (2013).  A new approach for user identification in web usage mining preprocessing. IOSR Journals (IOSR Journal of Computer Engineering), 11(3), 57-61. https://europub.co.uk/articles/-A-93406