A novel hybrid technique for user navigation pattern prediction using KHM and FP growth

A huge amount of data is available on the web. Several users tend to access the data available on the internet. This makes it difficult to understand the browsing behavior of the user. The browsing history of the user is recorded in the web server log files. Such log files need to be analyzed. The approach described in this paper is based on a novel hybrid technique for analyzing the browsing patterns. It involves a novel and hybrid approach based on clustering and pattern mining algorithm. The approach discussed in this paper is being implemented and the results are analyzed and compared with other related system using two different datasets. The results are also compared concerning the execution time, accuracy and number of frequent patterns.

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

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

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

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

[5]  Jayashri Mittal,et al.  Improvised hybrid model for user navigation pattern prediction , 2016, 2016 International Conference on Communication and Electronics Systems (ICCES).

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

[7]  Jayashri Mittal,et al.  An efficient approach to user navigation pattern prediction , 2016, 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB).

[8]  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.

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

[10]  Mehrdad Jalali,et al.  A new clustering approach based on graph partitioning for navigation patterns mining , 2008, 2008 19th International Conference on Pattern Recognition.

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

[12]  Anuradha D. Thakare,et al.  Introducing Hybrid Model for Data Clustering using K-Harmonic Means and Gravitational Search Algorithms , 2014 .

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