Discovering web usage patterns by using an innovative practical approach

  • Authors:
  • K. Sudheer Reddy;G. Partha Saradhi Varma;M. Kantha Reddy

  • Affiliations:
  • Acharya Nagarjuna University, GUNTUR, AP, India;SRKR Engineering College, Bhimavaram, AP, India;Indo US Collaboration for Engg. Edu, Hyderabad, AP, India

  • Venue:
  • ACM SIGSOFT Software Engineering Notes
  • Year:
  • 2012

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Abstract

Pattern mining is one of the most pivotal steps in the data mining is pattern mining and it immediately comes after the preprocessing phase of WUM. Pattern discovery deals with the sorted set of data items are presented as part of the sequence. Using this pattern mining, users can recognize the web paths that users commonly follow on a web site easily. This research discovers the most relevant and interesting behavioral patterns by using a Web usage mining process. The server web logs aids as an input to this process. We aim to identify behavioral patterns of the users who typically visit the web sites occasionally. We have employed a method for clustering, based on pattern summaries. We have conducted intense experiments and the results are shown in this paper