Mining distance-based outliers from large databases in any metric space

Full Text: PDFPDF Buy this ArticleBuy this Article
Authors: Yufei Tao Chinese University of Hong Kong, New Territories, Hong Kong
Xiaokui Xiao Chinese University of Hong Kong, New Territories, Hong Kong
Shuigeng Zhou Fudan University, Shanghai, China
Published in:
· Proceeding
KDD '06 Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Pages 394-403
ACM New York, NY, USA ©2006
table of contents ISBN:1-59593-339-5 doi>10.1145/1150402.1150447
Mining distance-based outliers from large databases in any metric space Published by ACM 2006 Article
Bibliometrics Data  Bibliometrics
· Downloads (6 Weeks): 5
· Downloads (12 Months): 66
· Downloads (cumulative): 772
· Citation Count: 18


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