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Reseach Article

Recognition of Interested Web Users Behavior

by Sadhna K. Mishra, Vineet Richaria, Vivek Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 6
Year of Publication: 2013
Authors: Sadhna K. Mishra, Vineet Richaria, Vivek Sharma
10.5120/9931-4563

Sadhna K. Mishra, Vineet Richaria, Vivek Sharma . Recognition of Interested Web Users Behavior. International Journal of Computer Applications. 61, 6 ( January 2013), 14-17. DOI=10.5120/9931-4563

@article{ 10.5120/9931-4563,
author = { Sadhna K. Mishra, Vineet Richaria, Vivek Sharma },
title = { Recognition of Interested Web Users Behavior },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 6 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number6/9931-4563/ },
doi = { 10.5120/9931-4563 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:08:21.130847+05:30
%A Sadhna K. Mishra
%A Vineet Richaria
%A Vivek Sharma
%T Recognition of Interested Web Users Behavior
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 6
%P 14-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There are some words like web browser, web server, web applications and websites, have become buzzwords. The search engine like google have become so much ubiquitous that everyone want to search the information on google . The web mining is a technology that is provide easy technique to use the web applications. The web application developer has the prerequisite of analysis of user's behavior for the development of any web application. The analysis of user behavior show who are the interested user and not interested user. There have been used a classification algorithm based on decision table. The Deep Log Analyzer tool has been used for the analysis of user's behavior. This analysis will help to developer to develop the web applications according to requirements of web users. This analysis is similar to case study of web user's behavior.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Usage Mining Deep Log Analyzer Decision Table