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Reseach Article

User Navigation Pattern Prediction using Longest Common Subsequence

Published on May 2013 by Samir S. Shaikh, Pravin B. Landage, D. B. Kshirsagar
International Conference on Recent Trends in Engineering and Technology 2013
Foundation of Computer Science USA
ICRTET - Number 4
May 2013
Authors: Samir S. Shaikh, Pravin B. Landage, D. B. Kshirsagar
74e038d7-dd14-4f59-8871-7e38c2e847e5

Samir S. Shaikh, Pravin B. Landage, D. B. Kshirsagar . User Navigation Pattern Prediction using Longest Common Subsequence. International Conference on Recent Trends in Engineering and Technology 2013. ICRTET, 4 (May 2013), 8-11.

@article{
author = { Samir S. Shaikh, Pravin B. Landage, D. B. Kshirsagar },
title = { User Navigation Pattern Prediction using Longest Common Subsequence },
journal = { International Conference on Recent Trends in Engineering and Technology 2013 },
issue_date = { May 2013 },
volume = { ICRTET },
number = { 4 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 8-11 },
numpages = 4,
url = { /proceedings/icrtet/number4/11784-1341/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Engineering and Technology 2013
%A Samir S. Shaikh
%A Pravin B. Landage
%A D. B. Kshirsagar
%T User Navigation Pattern Prediction using Longest Common Subsequence
%J International Conference on Recent Trends in Engineering and Technology 2013
%@ 0975-8887
%V ICRTET
%N 4
%P 8-11
%D 2013
%I International Journal of Computer Applications
Abstract

Web mining applies the data mining, the artificial intelligence and the chart technology and so on to the web data and traces users' visiting characteristics, and then extracts the users' using pattern. Web mining technologies are the right solutions for knowledge discovery on the Web. The knowledge extracted from the Web can be used to raise the performances for Web information retrievals, question answering, and Web based data warehousing. In this paper, I provide an introduction of Web mining as well as a review of the Web mining categories. Web mining applies the data mining, the artificial intelligence and the chart technology and so on to the web data. And traces users' visiting characteristics, and then extracts the users' navigation pattern. Web mining has quickly become one of the most important areas in Computer and Information Sciences because of its direct applications in ecommerce, e-CRM, Web analytics, information retrieval and filtering, and Web information systems.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Usage Mining Longest Common Subsequence Graph Partitioning Navigation Pattern