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Analysis of User Behavior through Web Usage Mining

Published on February 2015 by Suhasini Parvatikar, Bharti Joshi
journal_cover_thumbnail

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
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Index Terms

Computer Science
Information Sciences

Keywords

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