CFP last date
22 April 2024
Reseach Article

Analysis of User Behavior through Web Usage Mining

Published on February 2015 by Suhasini Parvatikar, Bharti Joshi
International Conference on Advances in Science and Technology
Foundation of Computer Science USA
ICAST2014 - Number 3
February 2015
Authors: Suhasini Parvatikar, Bharti Joshi
30669620-3435-4ae4-b469-340ca0395d2b

Suhasini Parvatikar, Bharti Joshi . Analysis of User Behavior through Web Usage Mining. International Conference on Advances in Science and Technology. ICAST2014, 3 (February 2015), 27-31.

@article{
author = { Suhasini Parvatikar, Bharti Joshi },
title = { Analysis of User Behavior through Web Usage Mining },
journal = { International Conference on Advances in Science and Technology },
issue_date = { February 2015 },
volume = { ICAST2014 },
number = { 3 },
month = { February },
year = { 2015 },
issn = 0975-8887,
pages = { 27-31 },
numpages = 5,
url = { /proceedings/icast2014/number3/19489-5038/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Science and Technology
%A Suhasini Parvatikar
%A Bharti Joshi
%T Analysis of User Behavior through Web Usage Mining
%J International Conference on Advances in Science and Technology
%@ 0975-8887
%V ICAST2014
%N 3
%P 27-31
%D 2015
%I International Journal of Computer Applications
Abstract

Internet has gained a lot of interest of customers. Maintaining good relations with customer is the major applications in web mining. The process of extracting useful information from web logs is called Web Usage Mining. This helps to improve the website performance by analyzing the user's interest and also adds profitability in business The main goal of Web Usage Mining is to study the users' navigation patterns and their use of web resources. Web Usage Mining is the primary focus of this study and we will learn more about the different stages involved in this mining process and with comparative analysis between pattern discovery algorithms i. e Apriori and FP-growth algorithm.

References
  1. Mirghani. A. Eltahir , Anour F. A. Dafa-Alla "Extracting Knowledge from Web Server Logs Using Web Usage Mining" Blue Nile University ,Dmazin, Sudan,IEEE 2011
  2. Rahul Mishra, Abha choubey "Comparative Analysis of Apriori Algorithm and Frequent Pattern Algorithm for Frequent Pattern Mining in Web Log Data. " (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 3 (4) , 2012
  3. K. R. Suneetha, Dr. R. Krishnamoorthi, " Identifying User Behavior by Analyzing Web Server Access Log File" IJCSNS International Journal of Computer Science and Network Security, VOL. 9 No. 4, April 2009.
  4. Bhaiyalal Birla, Sachin Patel , " An Implementation on Web Log Mining", IT & PCST, Indore, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 2, February 2014.
  5. Preeti Sharma & Sanjay Kumar, "An Approach for Customer Behavior Analysis using Web Mining,NIT Raipur, Raipur, Chattishgarh, International Journal of Internet Computing (IJIC), ISSN No: 2231 – 6965, Volume-1, Issue-2, 2011.
  6. Aditi Shrivastava, Nitin Shukla, " Extracting Knowledge from User Access Logs", Shri Ram Institute of Technology, Jabalpur, International Journal of Scientific and Research Publications, Volume 2, Issue 4, April 2012
  7. Kobra Etminani, Mohammad-R. Akbarzadeh-T, Noorali Raeeji Yanehsari , "Web Usage Mining: users' navigational patterns extraction from web logs using Ant-based Clustering Method", International Journal of Internet Computing (IJIC), 2009.
  8. S. K. Pani, , L. Panigrahy, V. H. Sankar, Bikram Keshari Ratha, A. K. Mandal, S. K. Padhi, "Web Usage Mining: A Survey on Pattern Extraction from Web Logs" International Journal of Instrumentation, Control & Automation (IJICA), Volume 1, Issue 1, 2011.
  9. Mr. Rahul Mishra ,Ms. Abha Choubey , " Discovery of Frequent Patterns from Web Log Data by using FP-Growth algorithm for Web Usage Mining", International Journal of Advanced Research in Computer Science.
  10. V. Chitraa,Dr. Antony Selvdoss Davamani, "A Survey on Preprocessing Methods for Web Usage Data", (IJCSIS) International Journal of Computer Science and Information Security, Vol. 7, No. 3, 2010.
  11. Vijayashri Losarwar, Dr. Madhuri Joshi , "Data Preprocessing in Web Usage Mining", International Conference on Artificial Intelligence and Embedded Systems , 2012 .
  12. Naga Lakshmi, Raja Sekhara Rao , Sai Satyanarayana Reddy , " An Overview of Preprocessing on Web Log Data for Web Usage Analysis", International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-2, Issue-4, March 2013,
  13. R. M. Suresh, R. Padmajavalli, "An Overview of Data Preprocessing in Data and Web Usage Mining", RMK Engineering College, Kavaraipettai, IEEE 2006.
  14. P. Nithya, Dr. P. Sumathi , "An Enhanced Pre-Processing Technique for Web Log Mining by Removing Web Robots", Tamilnadu ,IEEE 2012.
  15. Tasawar Hussain, Dr. Sohail Asghar, Dr. Nayyer Masood, "Web Usage Mining: A Survey on Preprocessing of Web Log File" , Center of Research in Data Engineering (CORDE) ,IEEE 2006.
  16. S. K. Pani, , L. Panigrahy, V. H. Sankar, Bikram Keshari Ratha, A. K. Mandal, S. K. Padhi, "Web Usage Mining: A Survey on Pattern Extraction from Web Logs", International Journal of Instrumentation, Control & Automation (IJICA), Volume 1, Issue 1, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Apriori Algorithm Fp-growth Algorithm Log File Preprocessing Web Usage Mining And Web Mining.