An efficient approach to user navigation pattern prediction
暂无分享,去创建一个
[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.