Publikation: KNIME: The Konstanz Information Miner
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2007
Autor:innen
Cebron, Nicolas
Dill, Fabian
Sieb, Christoph
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Beitrag zu einem Konferenzband
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Published
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Data Analysis , Machine Learning and Applications : Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e. V., Albert-Ludwigs-Universität Freiburg, March 7 9 , 2007. New York: Springer, 2007
Zusammenfassung
The Konstanz Information Miner is a modular environment, which enables easy visual assembly and interactive execution of a data pipeline. It is designed as a teaching, research and collaboration platform, which enables simple integration of new algorithms and tools as well as data manipulation or visualization methods in the form of new modules or nodes. In this paper we describe some of the design aspects of the underlying architecture and briefly sketch how new nodes can be incorporated.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
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Konferenz
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BERTHOLD, Michael R., Nicolas CEBRON, Fabian DILL, Thomas R. GABRIEL, Tobias KÖTTER, Thorsten MEINL, Peter OHL, Christoph SIEB, Kilian THIEL, Bernd WISWEDEL, 2007. KNIME: The Konstanz Information Miner. In: Data Analysis , Machine Learning and Applications : Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e. V., Albert-Ludwigs-Universität Freiburg, March 7 9 , 2007. New York: Springer, 2007BibTex
@inproceedings{Berthold2007KNIME-5434, year={2007}, title={KNIME: The Konstanz Information Miner}, publisher={Springer}, address={New York}, booktitle={Data Analysis , Machine Learning and Applications : Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e. V., Albert-Ludwigs-Universität Freiburg, March 7 9 , 2007}, author={Berthold, Michael R. and Cebron, Nicolas and Dill, Fabian and Gabriel, Thomas R. and Kötter, Tobias and Meinl, Thorsten and Ohl, Peter and Sieb, Christoph and Thiel, Kilian and Wiswedel, Bernd} }
RDF
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