International Journal of Computational Intelligence Systems

Volume 6, Issue sup1, January 1970, Pages 34 - 45

Fuzzy Logic in KNIME – Modules for Approximate Reasoning –

Authors
MichaelR. Berthold, Bernd Wiswedel, ThomasR. Gabriel
Corresponding Author
MichaelR. Berthold
Available Online 9 January 2017.
DOI
https://doi.org/10.1080/18756891.2013.818186How to use a DOI?
Keywords
KNIME, Fuzzy C-Means, Fuzzy Rules, Neighborgrams
Abstract
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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
6 - 100
Pages
34 - 45
Publication Date
2017/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2013.818186How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - MichaelR. Berthold
AU  - Bernd Wiswedel
AU  - ThomasR. Gabriel
PY  - 2017
DA  - 2017/01
TI  - Fuzzy Logic in KNIME – Modules for Approximate Reasoning –
JO  - International Journal of Computational Intelligence Systems
SP  - 34
EP  - 45
VL  - 6
IS  - sup1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.818186
DO  - https://doi.org/10.1080/18756891.2013.818186
ID  - Berthold2017
ER  -