KNIME: The Konstanz information miner

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2008, Pages 319-326

  Berthold, Michael R ^a   Cebron, Nicolas ^a   Dill, Fabian ^a   Gabriel, Thomas R ^a   Kötter, Tobias ^a   Meinl, Thorsten ^a   Ohl, Peter ^a   Sieb, Christoph ^a   Thiel, Kilian ^a   Wiswedel, Bernd ^a  

^a UNIVERSITY OF KONSTANZ   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; INFORMATION ANALYSIS; MACHINE LEARNING; MINERS;

COLLABORATION PLATFORMS; DATA MANIPULATIONS; DATA PIPELINES; MODULAR ENVIRONMENT; VISUALIZATION METHOD;

DATA VISUALIZATION;

EID: 84879557098     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-78246-9_38     Document Type: Conference Paper

References (8)

1. INFORSENSE LTD.: InforSense KDE. http://www.inforsense.com/kde.html.
2. INSIGHTFUL CORPORATION: Insightful Miner. http://www.insightful.com/ products/iminer/default.asp.
3. SCITEGIC: Pipeline Pilot. http://www.scitegic.com/products/overview/.
4. ECLIPSE FOUNDATION (2007):Eclipse 3.2 Documentation. http://www.eclipse. org.
5. GILBERT, D. (2005): JFreeChart Developer Guide. Object Refinery Limited, Berkeley, California. http://www.jfree.org/jfreechart.
6. R DEVELOPMENT CORE TEAM (2007): R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. http://www.R-project.org.
7. SIEB C., MEINL T., and BERTHOLD, M. R. (2007): Parallel and distributed data pipelining with KNIME. Mediterranean Journal of Computers and Networks, Special Issue on Data Mining Applications on Supercomputing and Grid Environments. To appear.
8. WITTEN, I. H. and FRANK, E (2005): Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, San Francisco. http://www.cs.waikato.ac.nz/~ml/weka/index.html.