KNIME - the Konstanz information miner: version 2.0 and beyond

doi:10.1145/1656274.1656280

KNIME - the Konstanz information miner: version 2.0 and beyond

Full Text:

Pdf

Buy this Article

Authors:	Michael R. Berthold	University of Konstanz, Konstanz, Germany
	Nicolas Cebron	University of Konstanz, Konstanz, Germany
	Fabian Dill	University of Konstanz, Konstanz, Germany
	Thomas R. Gabriel	University of Konstanz, Konstanz, Germany
	Tobias Kötter	University of Konstanz, Konstanz, Germany
	Thorsten Meinl	University of Konstanz, Konstanz, Germany
	Peter Ohl	University of Konstanz, Konstanz, Germany
	Kilian Thiel	University of Konstanz, Konstanz, Germany
	Bernd Wiswedel	University of Konstanz, Konstanz, Germany

	2009 Article
Bibliometrics
· Downloads (6 Weeks): 10 · Downloads (12 Months): 89 · Downloads (cumulative): 225 · Citation Count: 3

Published in:

	· Newsletter
	ACM SIGKDD Explorations Newsletter archive
	Volume 11 Issue 1, June 2009 Pages 26-31 ACM New York, NY, USA table of contents doi>10.1145/1656274.1656280

Tools and Resources

Buy this Article
TOC Service:
- Email
- RSS
Save to Binder
Export Formats:
- BibTeX
- EndNote
- ACM Ref

Tags: algorithms data mining design management performance performance evaluation theory

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