A novel technique for web log mining with better data cleaning and transaction identification.(Report): An article from: Journal of Computer Science
Book Details
Author(s)J. Vellingiri, S. Chenthur Pandian
PublisherScience Publications
ISBN / ASINB005FUI4XU
ISBN-13978B005FUI4X3
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸
Description
This digital document is an article from Journal of Computer Science, published by Science Publications on May 1, 2011. The length of the article is 4914 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: Key words: Data cleaning, path completion, data preprocessing, existing data, intelligent algorithm, irrelevant data, web usage mining, fuzzy clustering, Web Robot (WR), external data, log file, reference length, transactions identification
Citation Details
Title: A novel technique for web log mining with better data cleaning and transaction identification.(Report)
Author: J. Vellingiri
Publication:Journal of Computer Science (Magazine/Journal)
Date: May 1, 2011
Publisher: Science Publications
Volume: 7 Issue: 5 Page: 683(7)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
From the author: Key words: Data cleaning, path completion, data preprocessing, existing data, intelligent algorithm, irrelevant data, web usage mining, fuzzy clustering, Web Robot (WR), external data, log file, reference length, transactions identification
Citation Details
Title: A novel technique for web log mining with better data cleaning and transaction identification.(Report)
Author: J. Vellingiri
Publication:Journal of Computer Science (Magazine/Journal)
Date: May 1, 2011
Publisher: Science Publications
Volume: 7 Issue: 5 Page: 683(7)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
