Ensembles and PMML in KNIME

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FILLBRUNN, Alexander, Iris ADÄ, Thomas R. GABRIEL, Michael R. BERTHOLD, 2013. Ensembles and PMML in KNIME. PMML Workshop. Chicago, 10. Aug 2013. In: PMML Workshop Proceedings : KDD 2013. PMML Workshop. Chicago, 10. Aug 2013. New York, NY:ACM. ISBN 978-1-4503-2573-8

@inproceedings{Fillbrunn2013Ensem-38103, title={Ensembles and PMML in KNIME}, year={2013}, isbn={978-1-4503-2573-8}, address={New York, NY}, publisher={ACM}, booktitle={PMML Workshop Proceedings : KDD 2013}, author={Fillbrunn, Alexander and Adä, Iris and Gabriel, Thomas R. and Berthold, Michael R.} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/38103"> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-03-22T15:58:56Z</dc:date> <dc:contributor>Berthold, Michael R.</dc:contributor> <dcterms:title>Ensembles and PMML in KNIME</dcterms:title> <dc:contributor>Adä, Iris</dc:contributor> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150914100631302-4485392-8"/> <dc:creator>Berthold, Michael R.</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-03-22T15:58:56Z</dcterms:available> <dc:creator>Adä, Iris</dc:creator> <dc:language>eng</dc:language> <dc:contributor>Fillbrunn, Alexander</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38103"/> <dc:creator>Fillbrunn, Alexander</dc:creator> <dcterms:issued>2013</dcterms:issued> <dcterms:abstract xml:lang="eng">In this paper we describe how ensembles can be trained, modified and applied in the open source data analysis platform, KNIME. We focus on recent extensions that also allow ensembles, represented in PMML, to be processed. This way ensembles generated in KNIME can be deployed to PMML scoring engines. In addition ensembles created by other tools and represented as PMML can be applied or further processed (modified or filtered) using intuitive KNIME workflows.</dcterms:abstract> <dc:contributor>Gabriel, Thomas R.</dc:contributor> <dc:creator>Gabriel, Thomas R.</dc:creator> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 22.03.2017 (Informationen über die Zugriffsstatistik)

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