KNIME: The Konstanz Information Miner

Kurzanzeige
dc.contributor.authorBerthold, Michael R.
dc.contributor.authorCebron, Nicolasdeu
dc.contributor.authorDill, Fabiandeu
dc.contributor.authorGabriel, Thomas R.
dc.contributor.authorKötter, Tobias
dc.contributor.authorMeinl, Thorsten
dc.contributor.authorOhl, Peter
dc.contributor.authorSieb, Christophdeu
dc.contributor.authorThiel, Kilian
dc.contributor.authorWiswedel, Bernd
dc.date.accessioned2011-03-24T15:55:24Zdeu
dc.date.available2011-03-24T15:55:24Zdeu
dc.date.issued2007deu
dc.description.abstractThe 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.eng
dc.description.versionpublished
dc.format.mimetypeapplication/pdfdeu
dc.identifier.citationFirst publ. 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, 2008deu
dc.identifier.ppn285972502deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/5434
dc.language.isoengdeu
dc.legacy.dateIssued2008deu
dc.rightsAttribution-NonCommercial-NoDerivs 2.0 Generic
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.0/
dc.subject.ddc004deu
dc.titleKNIME: The Konstanz Information Minereng
dc.typeINPROCEEDINGSdeu
dspace.entity.typePublication
kops.citation.bibtex
@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}
}
kops.citation.iso690BERTHOLD, 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, 2007deu
kops.citation.iso690BERTHOLD, 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, 2007eng
kops.citation.rdf
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/5434">
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5434/1/BCDG_07_knime_gfkl.pdf"/>
    <dc:contributor>Wiswedel, Bernd</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5434/1/BCDG_07_knime_gfkl.pdf"/>
    <dc:creator>Meinl, Thorsten</dc:creator>
    <dcterms:bibliographicCitation>First publ. 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, 2008</dcterms:bibliographicCitation>
    <dc:contributor>Meinl, Thorsten</dc:contributor>
    <dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights>
    <dc:creator>Kötter, Tobias</dc:creator>
    <dc:contributor>Berthold, Michael R.</dc:contributor>
    <dc:contributor>Ohl, Peter</dc:contributor>
    <dc:creator>Sieb, Christoph</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:55:24Z</dc:date>
    <dc:creator>Berthold, Michael R.</dc:creator>
    <dcterms:title>KNIME: The Konstanz Information Miner</dcterms:title>
    <dcterms:issued>2007</dcterms:issued>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/2.0/"/>
    <dc:creator>Wiswedel, Bernd</dc:creator>
    <dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5434"/>
    <dc:creator>Gabriel, Thomas R.</dc:creator>
    <dc:format>application/pdf</dc:format>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Gabriel, Thomas R.</dc:contributor>
    <dc:contributor>Dill, Fabian</dc:contributor>
    <dc:creator>Thiel, Kilian</dc:creator>
    <dc:contributor>Cebron, Nicolas</dc:contributor>
    <dc:creator>Dill, Fabian</dc:creator>
    <dc:contributor>Kötter, Tobias</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:55:24Z</dcterms:available>
    <dc:creator>Ohl, Peter</dc:creator>
    <dc:creator>Cebron, Nicolas</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Thiel, Kilian</dc:contributor>
    <dc:contributor>Sieb, Christoph</dc:contributor>
    <dc:language>eng</dc:language>
  </rdf:Description>
</rdf:RDF>
kops.description.openAccessopenaccessgreen
kops.flag.knbibliographytrue
kops.identifier.nbnurn:nbn:de:bsz:352-opus-64487deu
kops.opus.id6448deu
kops.sourcefield<i>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</i>. New York: Springer, 2007deu
kops.sourcefield.plainData 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, 2007deu
kops.sourcefield.plainData 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, 2007eng
relation.isAuthorOfPublication56ea9ab6-14a4-493e-8ef1-3c064e0c50a1
relation.isAuthorOfPublication1a424000-5683-4436-bde3-56f6ec49ab41
relation.isAuthorOfPublicatione4e02de3-c768-4603-b53c-65fb634f5e71
relation.isAuthorOfPublication255eee60-4bb2-46e4-bb98-0f147eaabbdc
relation.isAuthorOfPublicationf33958f1-c793-454d-8e8e-d5a39704fe05
relation.isAuthorOfPublicationd97b50a0-8534-450f-9887-e29f957f1c94
relation.isAuthorOfPublication2a49b46f-c021-4e84-ade3-969e85f2dbb6
relation.isAuthorOfPublication.latestForDiscovery56ea9ab6-14a4-493e-8ef1-3c064e0c50a1
source.publisherSpringer
source.publisher.locationNew York
source.titleData 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

Dateien

Originalbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
BCDG_07_knime_gfkl.pdf
Größe:
299.25 KB
Format:
Adobe Portable Document Format
BCDG_07_knime_gfkl.pdf
BCDG_07_knime_gfkl.pdfGröße: 299.25 KBDownloads: 981

Sammlungen

Informatik und Informationswissenschaft: Publikationen