Efficient Identification of Users and User Sessions from Web Log Repository Using Dimensionality Reduction Techniques and Combined Methodologies
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Publisher
Springer India
Link
http://link.springer.com/content/pdf/10.1007/978-81-322-2553-9_16
Reference11 articles.
1. Neelima, G., et al.: An overview on web usage mining. In: Emerging ICT for Bridging the Future—Proceedings of the 49th Annual Convention of the Computer Society of India, vol. 2, Advances in Intelligent Systems and Computing, vol. 338, pp. 647–655. Springer International Publishing (2015)
2. Bhargav, A., et al.: Pattern discovery and users classification through web usage mining. In: Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on, IEEE, pp. 632–635 (2014)
3. Eltahir, M.A., et al.: Extracting knowledge from web server logs using web usage mining. In: Computing, Electrical and Electronics Engineering (ICCEEE), 2013 International Conference on, IEEE, pp. 413–417 (2013)
4. Malik, S.K., et al.: Information extraction using web usage mining, web scrapping and semantic annotation. In: Computational Intelligence and Communication Systems, 2011 International Conference on, IEEE, pp. 465–469 (2011)
5. Varnagar, C.R., et al.: Web usage mining: a review on process, methods and techniques. In: Information Communication and Embedded Systems (ICICES), 2013 International Conference on, IEEE, pp. 40–46 (2013)
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