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Improve Efficiency of Web Pattern Analysis Through Web Mining

by Hemwati Kumawat, Vinesh Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 10
Year of Publication: 2014
Authors: Hemwati Kumawat, Vinesh Jain
10.5120/14881-3312

Hemwati Kumawat, Vinesh Jain . Improve Efficiency of Web Pattern Analysis Through Web Mining. International Journal of Computer Applications. 85, 10 ( January 2014), 54-57. DOI=10.5120/14881-3312

@article{ 10.5120/14881-3312,
author = { Hemwati Kumawat, Vinesh Jain },
title = { Improve Efficiency of Web Pattern Analysis Through Web Mining },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 10 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 54-57 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number10/14881-3312/ },
doi = { 10.5120/14881-3312 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:02:08.007948+05:30
%A Hemwati Kumawat
%A Vinesh Jain
%T Improve Efficiency of Web Pattern Analysis Through Web Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 10
%P 54-57
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In commercial and academic areas of Web usage mining techniques, the interest has been increased due to the information explosion in World Wide Web. Through web user navigation patterns, proposed a approach which predict users' future request that provide valuable information for web designers which quickly respond to their individual needs for the efficient organization of the website by mining the weblog files using Web weblog Expert and Universal Extractor. The approach is based on the combined mining to discover knowledge from web server log files which derive user navigation profiles and the contents of the retrieved web pages. The proposed algorithm implemented, and the system achieves the bandwidth of nearly 80% and the efficiency of about 75% of extracted log files, which is about 20% higher than original log files by mining Web server logs. This approach has been carried out in order to validate and facilitate better web personalization and website organization.

References
  1. Roughan, M. and Zhang, Y. , "Secure distributed data-mining and its application to large-scale network measurements", ACM SIGCOMM Computer Communication Review, Vol. 36, Issue 1, Pp. 7- 14, 2011.
  2. Washio, T. , Suzuki, E. , Ting, K. M. and Inokuchi, A. "Advances in Knowledge Discovery and Data Mining", Proceedings of12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, Lecture Notes in Computer Science, Pp. 1-1102. SBN: 978-3-540-68124, 2012.
  3. Heydari, M. , Helal, R. A. and Ghauth, K. I. , "A graph-based web usage mining method considering client side data", International Conference on Electrical Engineering and Informatics, ICEEI, Vol. 01, Pp. 147-153, 2011.
  4. Kazienko, P. "Mining Indirect Association Rules for Web Recommendation", International Journal of Applied Mathematics and Computer Science, Vol. 19, Issue 1, Pp. 165-186, 2012.
  5. Raju, V. V. R. , Rao V. M. and Kumari, V. "Understanding User Behavior using Web Usage Mining", International Journal of Computer Applications, Published By Foundation of Computer Science, Vol. 1, No. 7, Pp. 55–64, 2010.
  6. A. K. Jain, M. N. Murty, and P. J. Flynn, "Data Clustering: A review. ACM Computing Survey (CSUR)", 31(3): 264-323, 2011.
  7. Kobra Etminani, Mohammad-R, Akbarzadeh-T, Noorali Raeeji Yanehsari. , "Web Usage Mining: users navigational patterns extraction from weblogs using Ant-based Clustering Method", Volume 4, Pp. 55-64, IEEE 2012.
  8. Mrs. Kiruthika M and Mrs. Dipa Dixit. , "Mining Access Patterns Using Clustering", International Journal of Computer Applications (0975 –8887) Volume 4– No. 11, August 2012.
  9. Resul DA? and ?brahim Türko?lu, "Extraction of Interesting Patterns Through Association Rule Mining For Improvement Of Website Usability", Journal Of Electrical & Electronics Engineering, vol 9, No 2(2012).
  10. Bamshad Mobasher and Robert Cooley, Jaideep Srivastava, "Creating Adaptive Web Sites Through Usage-Based Clustering of URLs", 2012.
  11. Mustapha, N. , Jalali, M. and Jalali, M. , "Expectation Maximization Clustering Algorithm for User Modeling in Web Usage Mining Systems", European Journal of Scientific Research, vol. 32, No. 4, Pp. 467-467, 2011.
  12. Alam, S. , G. Dobbie, et al, Particle Swarm, "Optimization Based Clustering of Web Usage Data", 2008 IEEE/WIC/ACM Internation Conference On Web Intelligence and Intelligence Agent Technology 978-0-7695- 3496-I/08 DOI 10. 1109/WIIAT. 2008. 292 IEEE/WIC/ACM International Conference On Web 2012.
Index Terms

Computer Science
Information Sciences

Keywords

web usage mining web content mining user navigation patterns weblog files

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