• ISSN: 2349-6002
  • UGC Approved Journal No 47859
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Data Extraction from Web Server Logs Using Web Usage Mining

  • Unique Paper ID: 149264
  • Volume: 6
  • Issue: 11
  • PageNo: 469-474
  • Abstract:
  • The growth of the Internet is growing rapidly, and the use of Web sites and Web-based systems has become very common. The main problem facing website administrators or web application systems is increasing the number of data types and formats stored in server log files in seconds, protecting users, future needs, and structure. Website or web service content depending on previous data. Web Usage Mining aims to discover useful information or information about usage data recorded in log files based on the main data types used in the mining process. The data extracted from the web service registry and the browsing behaviour of the user are used to get the same user generated web access order. In this document, we will use one of the web mining techniques to learn about web server log files that record the entire user's browsing history using the web mining technique.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 6
  • Issue: 11
  • PageNo: 469-474

Data Extraction from Web Server Logs Using Web Usage Mining

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UGC Approved
Journal no 47859

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