Publikation:

Fuzzy logic in KNIME - modules for approximate reasoning

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Berthold_264846.pdf
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2013

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http://nbn-resolving.de/urn:nbn:de:bsz:352-264846
DOI (zitierfähiger Link)
https://doi.org/10.1080/18756891.2013.818186
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Informatik und Informationswissenschaft: Publikationen
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Published

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International Journal of Computational Intelligence Systems. 2013, 6(sup1), pp. 34-45. ISSN 1875-6891. eISSN 1875-6883. Available under: doi: 10.1080/18756891.2013.818186

Zusammenfassung

In this paper we describe the open source data analytics platform KNIME, focusing particularly on extensions and modules supporting fuzzy sets and fuzzy learning algorithms such as fuzzy clustering algorithms, rule induction methods, and interactive clustering tools. In addition we outline a number of experimental extensions, which are not yet part of the open source release and present two illustrative examples from real world applications to demonstrate the power of the KNIME extensions.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

KNIME, fuzzy C-means, fuzzy rules, neighborgrams

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Zitieren

ISO 690BERTHOLD, Michael R., Bernd WISWEDEL, Thomas R. GABRIEL, 2013. Fuzzy logic in KNIME - modules for approximate reasoning. In: International Journal of Computational Intelligence Systems. 2013, 6(sup1), pp. 34-45. ISSN 1875-6891. eISSN 1875-6883. Available under: doi: 10.1080/18756891.2013.818186
BibTex
@article{Berthold2013Fuzzy-26484,
  year={2013},
  doi={10.1080/18756891.2013.818186},
  title={Fuzzy logic in KNIME - modules for approximate reasoning},
  number={sup1},
  volume={6},
  issn={1875-6891},
  journal={International Journal of Computational Intelligence Systems},
  pages={34--45},
  author={Berthold, Michael R. and Wiswedel, Bernd and Gabriel, Thomas R.}
}
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