International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 145 - Number 13 |
Year of Publication: 2016 |
Authors: Jaswinder Kaur, Kanwal Garg |
10.5120/ijca2016910865 |
Jaswinder Kaur, Kanwal Garg . Discovery of Frequent Usage Pattern for Web Data to Optimized Web based Applications. International Journal of Computer Applications. 145, 13 ( Jul 2016), 14-17. DOI=10.5120/ijca2016910865
The traffic on WWW is increasing at a rapid rate due to users interaction with web sites, these activities contributes to enormous information which is maintained in Web log file. Web usage mining plays an important role in discovering frequent pattern from Web data, that helps to better serve the need of Web based applications. In present research work, researcher finds out different user and their session, which help in identifying unique user’s navigational path from pre-processed Web log data. Further, researcher also proposed Modified Apriori algorithm which helps in extracting frequent usage pattern using average support.