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Prediction of User Navigation Patterns Using Knowledge from Web Log Data
Abstract
The web access log is the best repositories for the information source. It maintains the entire record of even a tiny low event. The web log updates each time a user starts a new session. Initially the log file contains each and every detail regarding the user, the Ip address, website name, time stamp and other details. The web usage pattern analysis is a method of distinguishing browsing patterns by analyzing the user’s navigation and behaviour. The internet server log files that store the knowledge concerning the guests of internet sites is employed as input for the web usage pattern analysis method. It must to trace the visitors’ on-line behaviors for website usage analysis. This paper reviews the method of Preprocessing that is helpful to take clear web log data from the online server log file. The preprocessed and analyzed results are used in many areas such as net traffic analysis, economical web site administration, website modifications, system improvement and personalization and business intelligence etc.
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References
Recognition of Interested Web Users Behavior, Sadhna K. Mishra, Vineet Richaria, Vivek Sharma, International Journal of Computer Applications (0975 – 8887) Volume 61– No.6, January 2013
V.Chitraa, Dr.Antony Selvadoss Devamani, “A Novel Technique for Sessions Identification in Web Usage Mining Preprocessing”, International Journal of Computer Applications, Volume 34– No.9, 2012
Yinghui Yang and Balaji Padmanabhan. (2005). GHIC: A Hierarchical Pattern-Based Clustering Algorithm for Grouping Web Transactions. IEEE Transactions on Knowledge and Data Engineering, Vol 17, No. 9.
Mehrdad Mahdaviand and Hassan Abolhassani, “Harmony K means algorithm for document clustering”, Volume 18, 2009.
Sudipto Guha, Rajeev Rastogi and Kyuseok Shim,”CURE: an efficient clustering algorithm for large database”, Volume 27, Issue 2, pp.73-84, June 1998.
Kumar, P.R. and Singh, A.K., “Web Structure Mining: Exploring Hyperlinks and Algorithms for Information Retrieval”, American Journal of Applied Sciences, 2010, Vol. 7, No.6, Pp. 840-845.
Ranieri Baraglia, Paolo Palmerini, “SUGGEST: AWeb Usage Mining System”, Proc. of IEEE International Conference on Information Technology: Coding and Computing, 2004.
Haibin Liu, Vlado Kesˇelj, “Combined mining of Web server logs and web contents for classifying user navigation patterns and predicting users’ future requests”, Data & Knowledge Engineering 61 2007, Elsevier publication, pp. 304–330.
Bamshad Mobasher, Robert Cooley, and Jaideep Srivastava, “Automatic personalization based on web usage mining”, Communication of ACM Vol. 43 No.8, 2000, pp.142-151.
Mehrdad Jalali, Norwati Mustapha, Md Nasir Sulaiman, Ali Mamat, “A Recommender System Approach for Classifying User Navigation Patterns Using Longest Common Subsequence Algorithm”, American Journal of Scientific Research, ISSN 1450-223X Issue 4 (2009), pp. 17-27.
Dipa Dixit, Jayant Gadage, “New Approach for Clustering of Navigation Patterns of Online Users”, International Journal of Engineering Science and Technology, Vol. 2(6), 2010, pp.1670-1676.
Analia Lourenco,Catching web crawlers in ac
Bettina Berendt Measuring the accuracy of sessionizer for web usage analysis
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise Martin Ester, Hans-Peter Kriegel, J&g Sander, Xiaowei Xu
Sheetal A. Raiyani and, Shailendra Jain, “Efficient Preprocessing technique using Web log mining, International Journal of Advancements in Research & Technology”, 1(6) ISSN 2278-7763, 2012.
M. Malarvizhi S. A. Sahaaya Arul Mary, “Preprocessing of Educational Institution Web Log Data for Finding Frequent Patterns using Weighted Association Rule Mining Technique”, European Journal of Scientific Research ISSN 1450-216X Vol.74 No.4 ,617-633,2012.
Vijayashri Losarwar and Dr. Madhuri Joshi, Data Preprocessing in Web Usage Mining, International Conference on Artificial Intelligence and Embedded Systems (ICAIES'2012) July 15-16, Singapore, 2012.
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