Research Trends in Web and Web Usage Mining

Authors

  • Rachana Parikh  Information Technology, V.V.P. Engineering College, Rajkot, Gujarat, India
  • Rachit Adhvaryu  Information Technology, V.V.P. Engineering College, Rajkot, Gujarat, India
  • Komil Vora  Information Technology, V.V.P. Engineering College, Rajkot, Gujarat, India

Keywords:

Data Mining, Internet, Web, Web Mining, Web Usage Mining

Abstract

Web Technology is evolving very fast and Internet Users are growing much faster than estimated. The website users are using a wide range of websites leaving back a variety of information. This information must be used by the websites administrator to manipulate their websites according to the users of the websites. This actually is Data Mining. Web Mining is one of the applications of Data Mining. Web mining plays an important role in the decision making in the corporate, education and research environment. Modern developments in digital media technologies have evolved a huge amount of data transmitting over the web and with this huge data storage is required for easy and feasible access. Web Usage Mining is a mining of usage of websites and the information used and delivered on the websites. It is a technique to extract information from the web which includes web documents, hyperlinks between the documents and web usage logs. In this paper we describe the detailed survey of web mining, different techniques of web usage mining and its importance.

References

  1. Arvind Kumar Sharma, P.C. Gupta, -"Exploration of efficient methodologies for the improvement in web mining techniques-A survey", International Journal of Research in IT & Management (ISSN 2231-4334) Vol.1, Issue 3, July 2011.
  2. G. Srivastava, K. Sharma, V. Kumar,"Web Mining: Today and Tomorrow", in the Proceedings of 2011 3rd International Conference on Electronics Computer Technology (ICECT), pp.399-403, April 2011.
  3. S. K. Madria, S. S.  Bhowmick, W. K. Ng,and E. P. Lim, "Research Issues in Web Mining", in proceding of data mining and knowledge discovery, 1st International conference, DaWk 99, pp 303-312, 1999.
  4. Ji Zhang, Wynne Hsu and Mong Li Lee "An Information-Driven Framework for Image Mining" Database and Expert Systems Applications in Computer Science, 2001, Volume 2113/2001, 232-242, DOI: 10.1007/3-540-44759-8_24
  5. Boresczky J. S. and L. A. Rowe, "A Comparison of Video Shot Boundary Detection Techniques", Storage & Retrieval for Image and Video Databases IV, Proc. SPIE 2670, 1996, pp.170-179.
  6. A. Czyzewski, "Mining Knowledge in Noisy Audio Data", in Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining, pages 220-225, 1996.
  7. J.W. Han, M .Kamber, Data Mining-Concepts and Techniques, Elsevier Science & Technology Books, 2006.
  8. J. Srivastava, R. Cooley, M. Deshpande, P. Tan, "Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data", SIGKDD Explorations, 1(2), 20001, pp.2-23.
  9. Jaideep Srivastava and Robert Cooley "Usage Mining: Discovery and Applications of Usage Patterns from Web Data", ACM SIGKDD Explorations  Newsletter .2000,1(2):12-23.
  10. Bamshad Mobasher, "Web Usage Mining", Springer Berlin Heidelberg, 2007, 449-483.
  11. Navin Kumar Tyagi, A.K. Solanki and Sanjay Tyagi: "An Algorithmic Approach to Data Preprocessing in Web Usage Mining". International Journal of Information Technology and Knowledge Management, Volume 2, No. 2, July-December 2010, pp. 279-283.
  12. Jose Roberto de Freitas Boullosa. "An Architecture for Web Usage Mining".
  13. Yan Wang." Web Mining and Knowledge Discovery of Usage Patterns". CS 748T Project. February, 2000.
  14. Cyrus Shahabi, Amir M. Zarkesh, Jafar Adibi, and Vishal Shah, "Knowledge Discovery from Users Web-page Navigation", IEEE RIDE 1997.
  15. http://www.internetworldstats.com/top20.htm

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2018-01-20

Issue

Volume 4, Issue 2, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rachana Parikh, Rachit Adhvaryu, Komil Vora, " Research Trends in Web and Web Usage Mining, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.63-68, January-February-2018.