Fuzzy Logic in KNIME – Modules for Approximate Reasoning –

Fuzzy Logic in KNIME – Modules for Approximate Reasoning –

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...

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Bibliographic Details
Main Authors: MichaelR. Berthold, Bernd Wiswedel, ThomasR. Gabriel
Format: Article
Language:English
Published: Atlantis Press
Series:International Journal of Computational Intelligence Systems
Subjects:
KNIME
Fuzzy C-Means
Fuzzy Rules
Neighborgrams
Online Access:https://www.atlantis-press.com/article/25868454.pdf
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spelling doaj-19dfe8419f1a4656a5fa48b68ea84fc22020-11-25T02:21:26ZengAtlantis PressInternational Journal of Computational Intelligence Systems 1875-6883610010.1080/18756891.2013.818186Fuzzy Logic in KNIME – Modules for Approximate Reasoning –MichaelR. BertholdBernd WiswedelThomasR. GabrielIn 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.https://www.atlantis-press.com/article/25868454.pdfKNIMEFuzzy C-MeansFuzzy RulesNeighborgrams
collection DOAJ
language English
format Article
sources DOAJ
author MichaelR. Berthold
Bernd Wiswedel
ThomasR. Gabriel
spellingShingle MichaelR. Berthold
Bernd Wiswedel
ThomasR. Gabriel
Fuzzy Logic in KNIME – Modules for Approximate Reasoning –
International Journal of Computational Intelligence Systems
KNIME
Fuzzy C-Means
Fuzzy Rules
Neighborgrams
author_facet MichaelR. Berthold
Bernd Wiswedel
ThomasR. Gabriel
author_sort MichaelR. Berthold
title Fuzzy Logic in KNIME – Modules for Approximate Reasoning –
title_short Fuzzy Logic in KNIME – Modules for Approximate Reasoning –
title_full Fuzzy Logic in KNIME – Modules for Approximate Reasoning –
title_fullStr Fuzzy Logic in KNIME – Modules for Approximate Reasoning –
title_full_unstemmed Fuzzy Logic in KNIME – Modules for Approximate Reasoning –
title_sort fuzzy logic in knime – modules for approximate reasoning –
publisher Atlantis Press
series International Journal of Computational Intelligence Systems
issn 1875-6883
description 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.
topic KNIME
Fuzzy C-Means
Fuzzy Rules
Neighborgrams
url https://www.atlantis-press.com/article/25868454.pdf
work_keys_str_mv AT michaelrberthold fuzzylogicinknimemodulesforapproximatereasoning
AT berndwiswedel fuzzylogicinknimemodulesforapproximatereasoning
AT thomasrgabriel fuzzylogicinknimemodulesforapproximatereasoning
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