An efficient approach to user navigation pattern prediction

User navigation pattern discovery involves learning the user's browsing behavior pattern while he is surfing on the web. It is a technique of discovering the hidden patterns from the web server log file. The web server log files contain an entire record of the user's browsing behavior. These log files can be further analyzed to extract user's navigation patterns. Using the discovered navigation patterns, prediction of which next page the user will be visiting can be made. Such information can be further used in recommendation, personalization, e-commerce websites or web caching. The approach proposed in this paper is based on a novel approach using K-harmonic means and Frequent Pattern Growth which identifies user's behavior patterns and predicts user's future request.

[1]  Prakash K. Aithal,et al.  Neuro-Fuzzy Based Hybrid Model for Web Usage Mining , 2015 .

[2]  Pushpraj Singh Chauhan,et al.  Enhanced Integrated Approach to Predict Web User's Future Requests using K-Means and FP-Growth , 2015 .

[3]  Payal,et al.  Predicting User’s Web Navigation Behavior Using Hybrid Approach , 2015 .

[4]  Greg Hamerly,et al.  Alternatives to the k-means algorithm that find better clusterings , 2002, CIKM '02.

[5]  M. Hemalatha,et al.  An optimized k-harmonic mean based clustering user navigation patterns , 2013, 2013 IEEE International Conference on Computational Intelligence and Computing Research.

[6]  Jaideep Srivastava,et al.  Data Preparation for Mining World Wide Web Browsing Patterns , 1999, Knowledge and Information Systems.

[7]  Abha Choubey,et al.  Discovery of Frequent Patterns from Web Log Data by using FP-Growth algorithm for Web Usage Mining , 2012 .

[8]  M. Hemalatha,et al.  Improved Preprocessing techniques for Analyzing Patterns in Web Personalization Process , 2012 .

[9]  Abha Choubey,et al.  Comparative Analysis of Apriori Algorithm and Frequent Pattern Algorithm for Frequent Pattern Mining in Web Log Data , 2012 .

[10]  Priyanka S. Panchal,et al.  Hybrid technique for user's web page access prediction based on Markov model , 2013, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT).

[11]  Jaideep Srivastava,et al.  Grouping Web page references into transactions for mining World Wide Web browsing patterns , 1997, Proceedings 1997 IEEE Knowledge and Data Engineering Exchange Workshop.