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Reseach Article

An Intelligent Model for Redesigning Websites using Web Mining Techniques

by Gauri Jain, Dr. Varun Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 5
Year of Publication: 2011
Authors: Gauri Jain, Dr. Varun Kumar
10.5120/3030-4106

Gauri Jain, Dr. Varun Kumar . An Intelligent Model for Redesigning Websites using Web Mining Techniques. International Journal of Computer Applications. 25, 5 ( July 2011), 14-18. DOI=10.5120/3030-4106

@article{ 10.5120/3030-4106,
author = { Gauri Jain, Dr. Varun Kumar },
title = { An Intelligent Model for Redesigning Websites using Web Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 5 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number5/3030-4106/ },
doi = { 10.5120/3030-4106 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:56.806811+05:30
%A Gauri Jain
%A Dr. Varun Kumar
%T An Intelligent Model for Redesigning Websites using Web Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 5
%P 14-18
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main objective of this paper is to evolve an Intelligent Model which can help organizations to restructure their website so that website structure can be refined and it becomes more efficient and user friendly. In order to reach the main goal web mining process, web mining algorithm are applied. These can help to suggest the possible changes in the design of the wesite so that a common user feels much more comfortable in browsing the website. The data for this paper has been collected from a university website using a web crawler. Web mining algorithm are applied on the data so that possible changes can be suggested.

References
  1. Wookey Lee. Hierarchical Web Structure Mining.
  2. Raymond Kosala & Hendrik Blockeel. Web Mining Research: A Survey. ACM SIGKDD, July 2000.
  3. Da Gomes Jr., M.G. and Z. Gong, 2005. Web structure mining: An introduction. Proceeding of the IEEE International Conference on Information Acquisition, June 27-July 3, IEEE Xplore Press, Hong Kong and Macau, China, pp: 6. DOI: 10.1109/ICIA.2005.1635156
  4. Haveliwala, T. Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search. IEEE TKDE. 15(4), pp 784-796, 2003.
  5. S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. Proceedings of the Seventh International World Wide WebConference, 1998.
  6. A.Senthil Kumar & N Palanisamy, Challenges for Web Mining 2008, Proceedings of the 2008 International Conference on Computing, Communication and Networking (ICCCN 2008) 978-1-4244-3595-1/08/©2008 IEEE
  7. P. Ravi Kumar and Ashutosh Kumar Singh, Web Structure Mining-Exploring Hyperlinks and algorithm for information Retrieval, 2010, American Journal of Applied Sciences 7 (6): 840-845
  8. Data Mining Techniques, Arun K. Pujari, Universities Press 2001
  9. L. Getoor, Link Mining: A New Data Mining Challenge. SIGKDD Explorations, vol. 4, issue 2, 2003.
  10. O. Etzioni. The world wide web: Quagmire or goldmine. Communications of the ACM, 39(11):65-68,1996.
  11. L. Page, S. Brin, R. Motwani, and T. Winograd. The Pagerank citation ranking: Bring order to the web. Technical report, Stanford University, 1998.
  12. Kleinberg, J.M., Authoritative sources in a hyperlinked environment. In Proceedings of ACM-SIAM Symposium on Discrete Algorithms, 1998, pages 668-677 – 1998.
  13. Sona Bairamzadeh & Alireza Bolhari. Investigating Factors Affecting Students’ Satisfaction of University Websites. 978 -1-4244-5540-9/10 IEEE 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Web Mining Web Mining Process Web Mining Techniques Page Rank algorithm