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Review on Classification of Web Log Data using CART Algorithm

by Jagriti Chand, Abhishek Singh Chauhan, Ashish Kumar Shrivastava
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 17
Year of Publication: 2013
Authors: Jagriti Chand, Abhishek Singh Chauhan, Ashish Kumar Shrivastava
10.5120/13972-1879

Jagriti Chand, Abhishek Singh Chauhan, Ashish Kumar Shrivastava . Review on Classification of Web Log Data using CART Algorithm. International Journal of Computer Applications. 80, 17 ( October 2013), 41-43. DOI=10.5120/13972-1879

@article{ 10.5120/13972-1879,
author = { Jagriti Chand, Abhishek Singh Chauhan, Ashish Kumar Shrivastava },
title = { Review on Classification of Web Log Data using CART Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 17 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 41-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number17/13972-1879/ },
doi = { 10.5120/13972-1879 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:54:50.202148+05:30
%A Jagriti Chand
%A Abhishek Singh Chauhan
%A Ashish Kumar Shrivastava
%T Review on Classification of Web Log Data using CART Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 17
%P 41-43
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web Usage Mining (WUM) is the process of extracting knowledge from Web user behavior on web, who are actively involved in accessing the web data by exploiting Data Mining techniques. This knowledge can be used for various purposes such as personalization, system development and site improvement. This knowledge discovery is also useful for web designer to quickly respond to the web user needs. The researcher has developed no of classification technique to extract the user log data to find the interested web user. This paper reviews the various existing classification techniques for web user data mining and presents a comparative analysis of these classification techniques.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Mining Data Mining Classification Classification Algorithm CART Naive Bayes.

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