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KNIME / Data analysis / Predictive Model Markup Language / Data mining / Weka / Association rule learning / Machine learning / ADAPA / ELKI / Software / Statistics / Science


KNIME – The Konstanz Information Miner Version 2.0 and Beyond Michael R. Berthold, Nicolas Cebron, Fabian Dill, Thomas R. Gabriel, Tobias Kotter, ¨ Thorsten Meinl, Peter Ohl, Kilian Thiel and Bernd Wiswedel University
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Document Date: 2013-11-14 09:24:42


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City

Outport / San Francisco / Inport / Berlin / Vienna / /

Company

Konstanz / Inforsense Ltd. / Insightful Corporation / Computer Sciences / KNIME Labs / CONCLUSIONS KNIME / Object Refinery Limited / /

Country

Germany / Austria / /

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Facility

Bernd Wiswedel University / Java library / /

IndustryTerm

visualization tools / data analysis tools / statistical computing / neural networks / machine learning tools / data mining / data mining algorithms / association rule algorithms / online documentation / data processing / model building algorithms / external tools / data pipelining tools / statistics software / learning algorithms / /

Organization

Foundation for Statistical Computing / pp. / Classification / Data Analysis / and Knowledge Organization / Eclipse Foundation / Bernd Wiswedel University of Konstanz Nycomed / /

Person

Nicolas Cebron / Ian H. Witten / Michael R. Berthold / Christoph Sieb / Thomas R. Gabriel / Morgan Kaufmann / Fabian Dill / Peter Ohl / Tobias Kotter / Eibe Frank / Bernd Wiswedel / Thorsten Meinl / Kilian Thiel / /

Position

editor / Miner / manager / Information Miner / Model-View-Controller / workflow manager / writer / model / or visualize the data / SAS Enterprise Miner / programmer / /

ProgrammingLanguage

Java / R / SQL / XML / /

PublishedMedium

Machine Learning / /

Technology

XML / Bioinformatics / API / model building algorithms / association rule algorithms / machine learning / random access / shared memory / neural network / Java / data modeling / data mining algorithms / data mining / chemoinformatics / caching / /

URL

http /

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