Ensembles and PMML in KNIME

Publikationstyp: Beitrag zu einer Konferenz
Publikationsstatus: Published
URI (zitierfähiger Link): http://nbn-resolving.de/urn:nbn:de:bsz:352-0-394245
Autor/innen: Fillbrunn, Alexander; Adä, Iris; Gabriel, Thomas R.; Berthold, Michael R.
Erscheinungsjahr: 2013
Konferenz: PMML Workshop, 10. Aug 2013, Chicago
Erschienen in: PMML Workshop Proceedings : KDD 2013. - New York, NY : ACM, 2013. - ISBN 978-1-4503-2573-8
URL der Originalveröffentlichung: http://chbrown.github.io/kdd-2013-usb/workshops/PMML/docs/EnsemblePMML.pdf, Letzter Zugriff am 24. Apr 2017
Zusammenfassung:
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.
Fachgebiet (DDC): 004 Informatik
Schlagwörter: PMML, Ensemble Models, KNIME
Link zur Lizenz: Nutzungsbedingungen
Universitätsbibliographie: Ja

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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. New York, NY:ACM. ISBN 978-1-4503-2573-8

@inproceedings{Fillbrunn2013Ensem-38103, title={Ensembles and PMML in KNIME}, url={http://chbrown.github.io/kdd-2013-usb/workshops/PMML/docs/EnsemblePMML.pdf}, 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.} }

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