IEEE.org| IEEE Xplore Digital Library| IEEE Standards| IEEE Spectrum| More Sites

Cart (Loading....) | Create Account | 

Close category search window
Author Searchbeta |  Advanced Search  |  Preferences |  Search Tips  |  More Search Options  
 
Browse Conference Publications > Computers and Communications, ... Help

WCOND-mine: algorithm for detecting Web content outliers from Web documents

Full Text Sign-In or Purchase

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing! close button
puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Agyemang, M. ; Dept. of Comput. Sci., Calgary Univ., Alta., Canada ; Barker, K. ; Alhajj, R.S.

Outlier mining is dedicated to finding data objects, which differ significantly from the rest of the data. Outlier mining has been extensively studied in statistics and recently data mining. However, exploring the Web for outliers has received very little attention in the mining community. Web content outliers are documents with 'varying contents ' compared to similar Web documents taken from the same domain. Mining Web content outliers may lead to the identification of competitors and emerging business patterns in electronic commerce. This paper proposes WCOND-mine algorithm for mining Web content outliers using n-grams without a domain dictionary. Experimental results with embedded motifs show that WCOND-mine is capable of finding Web content outliers from Web datasets.

Published in:
Computers and Communications, 2005. ISCC 2005. Proceedings. 10th IEEE Symposium on

Date of Conference: 27-30 June 2005

Page(s):
885 - 890
ISSN :
1530-1346
Print ISBN:
0-7695-2373-0
INSPEC Accession Number:
8634114
Digital Object Identifier :
10.1109/ISCC.2005.155
Product Type:
Conference Publications

IEEE Account

Purchase Details

Profile Information

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.