Visually mining and monitoring massive time series

Full Text: PDFPDF Buy this ArticleBuy this Article
Authors: Jessica Lin University of California - Riverside, Riverside, CA
Eamonn Keogh University of California - Riverside, Riverside, CA
Stefano Lonardi University of California - Riverside, Riverside, CA
Jeffrey P. Lankford The Aerospace Corporation, El Segundo, CA
Donna M. Nystrom The Aerospace Corporation, El Segundo, CA
Visually mining and monitoring massive time series Published by ACM 2004 Article
Bibliometrics Data  Bibliometrics
· Downloads (6 Weeks): 10
· Downloads (12 Months): 125
· Downloads (cumulative): 1,840
· Citation Count: 24

Published in:
Cover Image
 
· Proceeding
KDD '04 Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Pages 460-469
ACM New York, NY, USA ©2004
table of contents ISBN:1-58113-888-1 doi>10.1145/1014052.1014104

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