@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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    <dcterms:title>Fuzzy logic in KNIME - modules for approximate reasoning</dcterms:title>
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    <dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
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