Analysis of Web Usage Patterns to Identify Most Frequently Accessed Web Page by Multiple Users

  • Priyanka VermaEmail author
  • Nishtha Kesswani
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1122)


All Data related to web sites that we access is stored in web logs. Increase in browsing these days has led to increase in size of these web log files. Web Mining is one technique that can be applied to these log files to mine navigational patterns. There are various types of web mining depending upon data mined Content, Usage or Structure. In this paper we focus on Mining of usage patterns: Web Usage Mining to discover most frequently accessed web page by multiple users after preprocessing of log file.


Web Usage Patterns Navigation Log file Web Usage Mining 


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.IIS (deemed to be) UniversityJaipurIndia
  2. 2.Central UniversityAjmerIndia

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