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Reseach Article

Effective Cleaning of Educational Website Usage Patterns and Predicting their Next Visit

by Harish Kumar, Anil Kumar Solanki
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 4
Year of Publication: 2012
Authors: Harish Kumar, Anil Kumar Solanki
10.5120/8412-2051

Harish Kumar, Anil Kumar Solanki . Effective Cleaning of Educational Website Usage Patterns and Predicting their Next Visit. International Journal of Computer Applications. 53, 4 ( September 2012), 43-48. DOI=10.5120/8412-2051

@article{ 10.5120/8412-2051,
author = { Harish Kumar, Anil Kumar Solanki },
title = { Effective Cleaning of Educational Website Usage Patterns and Predicting their Next Visit },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 4 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 43-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number4/8412-2051/ },
doi = { 10.5120/8412-2051 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:18.128804+05:30
%A Harish Kumar
%A Anil Kumar Solanki
%T Effective Cleaning of Educational Website Usage Patterns and Predicting their Next Visit
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 4
%P 43-48
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Universities with web education rely on web usage analysis to obtain students behavior for education promotion. The Internet is an information gateway and as a medium for business and education industry. Finding hidden information from Web log data is called Web usage mining. The aim of discovering similar patterns in Web log data is to obtain information about the navigational behavior of the users. Web usage mining, from the data mining aspect, is the task of applying data mining techniques to discover usage patterns from Web data in order to understand and better serve the needs of users navigating on the Web. Web usage mining aim is to find out useful information from the educational weblogs. These useful data pattern are used to analyze behavior of user. The focus of this paper is to generate a cleaning algorithm and provide an overview how to use frequent pattern mining techniques for discovering different types of patterns in a Web log. In this paper we premeditated different pattern for web pages, general statics, activity statics, visitor's statics, browser used

References
  1. Ajith Abraham, "Business Intelligence from Web Usage Mining" Journal of Information & Knowledge Management, Vol. 2, No. 4 (2003) 375-390.
  2. Jos´e Borges, Mark Levene "An Average Linear Time Algorithm for Web Usage Mining" Sept 2003.
  3. Kumar Harish, Solanki A. K "Adaptive Markov Chain For Next Page Access Prediction" Vol. 9 No. 7 JUL 2011 Aug 25, 2011 by IJCSIS .
  4. Hengshan Wang, Cheng Yang, Hua Zeng " Design and Implementation of a Web Usage Mining Model Based On Fpgrowth and Prefixspan", Communications of the IIMA, Volume 6 Issue 2
  5. Jaideep Srivastava_y, Robert Cooleyz, Mukund Deshpande, Pang-Ning Tan "Web Usage Mining: Discovery and Applications of UsagePatterns from Web Data" Volume 1 Issue 2-Page13
  6. Alice Marques, Orlando Belo "Discovering Student web Usage Profiles Using Markov Chains" The Electronic Journal of e-Learning Volume 9 Issue 1 2011, (pp63-74)
  7. Ji He,Man Lan, Chew-Lim Tan,Sam-Yuan Sung, Hwee-BoonLow, "Initialization of Cluster refinement algorithms: a review and comparative study", Proceeding of International Joint Conference on Neural Networks[C]. Budapest,2004.
  8. Renata Ivancsy, Ferenc Kovacs "Clustering Techniques Utilized in Web Usage Mining" International Conference on Artificial Intelligence, Knowledge Engineering and Data
  9. Bhawna. N and Suresh. J "Generating a New Model for Predicting the Next Accessed Web Page in Web Usage Mining" Third International Conference on Emerging Trends in Engineering and Technology, ICETET. 2010. 56
  10. Bindu Madhuri, Dr. Anand Chandulal. J, Ramya. K, Phanidra. M "Analysis of Users' Web Navigation Behavior using GRPA with Variable Length Markov Chains" IJDKP. 2011. 1201.
  11. Renata Iváncsy, István Vajk: A time- and memory-efficient frequent itemset discovering algorithm for association rule mining. IJCAT 27(4): 270-280 (2006).
Index Terms

Computer Science
Information Sciences

Keywords

Web mining Web usage Web logs Navigational behavior