Learning domain-independent string transformation weights for high accuracy object identification

Full Text: PDFPDF Buy this ArticleBuy this Article
Authors: Sheila Tejada University of Southern, California, Marina del Rey, CA
Craig A. Knoblock University of Southern, California, Marina del Rey, CA
Steven Minton Fetch Technologies, Marina del Rey, CA
Published in:
· Proceeding
KDD '02 Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Pages 350-359
ACM New York, NY, USA ©2002
table of contents ISBN:1-58113-567-X doi>10.1145/775047.775099
Learning domain-independent string transformation weights for high accuracy object identification Published by ACM 2002 Article
Bibliometrics Data  Bibliometrics
· Downloads (6 Weeks): 6
· Downloads (12 Months): 37
· Downloads (cumulative): 708
· Citation Count: 66


Tools and Resources

Share:

|
feedback Feedback | Switch to single page view (no tabs)

Powered by The ACM Guide to Computing Literature


The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player
The ACM Guide to Computing Literature
All Tags
Export Formats
 
 
Save to Binder