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Published in:

Volume 2 Issue 5
May-2015
eISSN: 2349-5162

Unique Identifier

JETIR1505019

Page Number

1437-1442

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Title

Effective web log mining and online navigational pattern prediction: a Survey

ISSN

2349-5162

Cite This Article

"Effective web log mining and online navigational pattern prediction: a Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 5, page no.1437-1442, May-2015, Available :http://www.jetir.org/papers/JETIR1505019.pdf

Abstract

The web has become the world's largest repository of knowledge. Web usage mining is the process of discovering knowledge from the interactions generated by the user in the form of access logs, cookies, and user sessions data. Web Mining consists of three different categories, namely Web Content Mining, Web Structure Mining, and Web Usage Mining (is the process of discovering knowledge from the interaction generated by the users in the form of access logs, browser logs, proxy-server logs, user session data, cookies). Accurate web log mining results and efficient online navigational pattern prediction are undeniably crucial for tuning up websites and consequently helping in visitors’ retention. Like any other data mining task, web log mining starts with data cleaning and preparation and it ends up discovering some hidden knowledge which cannot be extracted using conventional methods. After applying web mining on web sessions we will get navigation patterns which are important for web users such that appropriate actions can be adopted. Due to huge data in web, discovery of patterns and there analysis for further improvement in website becomes a real time necessity. The main focus of this paper is using of hybrid prediction engine to classify users on the basis of discovered patterns from web logs. Our proposed framework is to overcome the problem arise due to using of any single algorithm, we will give results based on comparison of two different algorithms like Longest Common Sequence (LCS) algorithm and Frequent Pattern (Growth) algorithm.

Key Words

Web Usage Mining, Navigation Pattern, Frequent Pattern (Growth) Algorithm.

Cite This Article

"Effective web log mining and online navigational pattern prediction: a Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 5, page no. pp1437-1442, May-2015, Available at : http://www.jetir.org/papers/JETIR1505019.pdf

Publication Details

Published Paper ID: JETIR1505019
Registration ID: 150207
Published In: Volume 2 | Issue 5 | Year May-2015
DOI (Digital Object Identifier):
Page No: 1437-1442
ISSN Number: 2349-5162

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Cite This Article

"Effective web log mining and online navigational pattern prediction: a Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 5, page no. pp1437-1442, May-2015, Available at : http://www.jetir.org/papers/JETIR1505019.pdf




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