UGC Approved Journal no 63975(19)

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Published in:

Volume 4 Issue 11
November-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1711001


Registration ID:
170474

Page Number

1-6

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Title

E-Commerce Web Miner Web Mining Algorithm For Web Log Analysis

Abstract

Nowa day’s electronic gadgetsare easily available due to their affordable rates and drastic increase in E- commerce sites online shopping business industry reaches sky limits. So millions of transactions are happening at the E-commerce site web servers. And the data dumps at the server logs will be in terms of gigabytes or sometimes it is in Terabytes. So this much huge data is always plays an important role in identifying missing transactions or mining most reliable sold items which can be helpful for the E commerce industry. Many algorithms and methodologies are existed to mine the web log data likeApriori and others.But most of the algorithms are suffered from space complexity issue with the limited itemsets. So proposed system introduces a technique of mining the E-commerce web server logs using M- tree based frequent pattern analysis. And this process is powered with the Shannon information gain technique to identify the most important items that are distributed over the datasets.

Key Words

Shannon information gain, M- tree, Web logs, Pre order traversing , Support clustering

Cite This Article

"E-Commerce Web Miner Web Mining Algorithm For Web Log Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 11, page no.1-6, November-2017, Available :http://www.jetir.org/papers/JETIR1711001.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"E-Commerce Web Miner Web Mining Algorithm For Web Log Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 11, page no. pp1-6, November-2017, Available at : http://www.jetir.org/papers/JETIR1711001.pdf

Publication Details

Published Paper ID: JETIR1711001
Registration ID: 170474
Published In: Volume 4 | Issue 11 | Year November-2017
DOI (Digital Object Identifier):
Page No: 1-6
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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