Review of Current Trends in Web Usage Mining
-
https://doi.org/10.14419/ijet.v7i3.20.22972 -
Data Mining basics, Web Mining, Web usage mining. -
Abstract
Due to incessantly growing of amount of data that is published over web pages, the world wide web (WWW) has impacted every facet of our lives. Due to the increase in size and also the complexity of web, it is necessary to search and retrieve information in an effective and efficient manner. The data in the web pages are semi-structured and heterogeneous making it difficult to access and a challenging issue. In web usage mining, knowledge is discovered effectively from usage patterns to serve the needs of various users. This paper offers a brief study and study of numerous techniques used for web usage mining
Â
Â
-
References
[1] J.W. Han, M .Kamber, Data Mining-- Concepts and Techniques, Elsevier Science & Technology Books, 2006.
[2] J. Srivastava, R. Cooley, M. Deshpande, P. Tan, “Web Usage Mining: Discovery and Applications of Usage Patterns from Web Dataâ€, SIGKDD Explorations, 1(2), 20001, pp.2-23.
[3] S. K. Madria, S. S. Bhowmick, W. K. Ng, and E.-P. Lim. Research issues in web data mining. In Proceedings of Data Warehousing and Knowledge Discovery, First International Conference, DaWaK ’99, pages 303–312, 1999.
[4] Hidenao Abe , “Development of a Classification Rule Mining Framework by Using Temporal Pattern Extractionâ€, New fundamental technologies in data mining, January 2011, pp. 493-504.
[5] Bamshad Mobasher .Web Usage Mining .Springer Berlin Heidelberg, 2007, 449-483.
[6] Koutri M, Daskalaki S., Avouris N., Adaptive interaction with web sites: an overview of methods and techniques, Proc. CSIT 2002, Patras, September 2002
[7] D. Pierrakos, G. Paliouras, C. Papatheodorou, and C. D. Spyropoulos, "Web usage mining as a tool for personalization: A survey," User Modeling and User-Adapted Interaction, vol. 13, pp. 311-372, 2003.
[8] Magdalini Eirinaki and Michalis Vazirgiannis, “Web mining for web personalizationâ€, ACM Transactions on Internet Technology, 03(01):1-27, February 2003.
[9] Kosala and Blockeel, “Web Mining Research: A Surveyâ€, SIGKDD Exploration, Newsletter of SIG on Knowledge Discovery and Data Mining, ACM, Vol.2, 2000
[10] R. Cooley, B. Mobasher, and J. Srivastava, "Web mining: information and pattern discovery on the World Wide Web," in Proc. Ninth IEEE International Conference on Tools with Artificial Intelligence, 1997, pp. 558-567.
[11] O. R. Zaïane, "Web usage mining for a better web-based learning,"presented at the Conference on Advanced Technology for Education,2001.
[12] Pawel Matuszyk, Georg Krempl, Myra Spiliopoulou, Correcting the Usage of the Hoeffding Inequality in Stream Mining,published in 2013 IDA
[13] R. S. T. Lee, and J. N. K. Liu, iJADE Web-Miner: An Intelligent Agent Framework for Internet Shopping, IEEE Transactions on Knowledge and Data Engineering, 16(4), 2004, 461- 473.
[14] B. Mobasher, R. Cooley, and J. Srivastava, J. Automatic personalization based on Web usage mining, Communications of the ACM, 43(8), 2000, 142-151
[15] K. S. Reddy, G. P. S. Varma, and S. S. S. Reddy, "Understanding the scope of web usage mining & applications of web data usage patterns, “in Proc. International Conference on Computing, Communication and Applications, 2012, pp. 1-5.
[16] Chintan R. Varnagar; Nirali N. Madhak; Trupti M. Kodinariya; Jayesh N. Rathod,†Web usage mining: A review on process, methods and techniquesâ€, IEEE International Conference on Information Communication and Embedded Systems (ICICES),pp,40-46,2013
[17] Brijesh Bakariya, Krishna K. Mohbey and G.S. Thakur, “An Inclusive Survey on Data Preprocessing Methods Used in Web Usage Miningâ€, Springer-2011.
[18] Liu Kewen, “Analysis of Preprocessing methods for web usage miningâ€, International Conference on measurement, Information and Control, IEEE, 2012.
[19] Sheetal A. Raiyani, Shailendra Jain and Ashwin G. Raiyani, “Advanced Preprocessing using Distinct User Identification in web log usage dataâ€, ISSN : 2278 – 1021, IJARCCE, Vol. 1, Issue 6, August 2012
[20] MuhammedShafi. P,Selvakumar.S*, Mohamed Shakeel.P, “An Efficient Optimal Fuzzy C Means (OFCM) Algorithm with Particle Swarm Optimization (PSO) To Analyze and Predict Crime Dataâ€, Journal of Advanced Research in Dynamic and Control Systems, Issue: 06,2018, Pages: 699-707
[21] Selvakumar, S & Inbarani, Hannah & Mohamed Shakeel, P. (2016). A hybrid personalized tag recommendations for social E-Learning system. 9. 1187-1199.
[22] V. Sujatha and Punithavalli, “Improved User Navigation Pattern Prediction Technique From Web Log Dataâ€, ELSEVIER-2012
[23] Suneetha, K. R. and D. R. Krishnamoorthi, "Identifying User Behavior by Analyzing Web Server Access Log Fileâ€, (IJCSNS) International Journal of Computer Science and Network Security, VOL.9, No.4, April 2009.
-
Downloads
-
How to Cite
Gayatri, M., P.Satheesh, D., & R.Rajeshwara Rao, D. (2018). Review of Current Trends in Web Usage Mining. International Journal of Engineering & Technology, 7(3.20), 690-694. https://doi.org/10.14419/ijet.v7i3.20.22972Received date: 2018-12-02
Accepted date: 2018-12-02