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Comprehensive PMML preprocessing in KNIME

Authors :
Kostantinos Stathatos
Wen-Ching Lin
Michael R. Berthold
Dominik Morent
Publication Year :
2011

Abstract

This paper describes PMML extensions for the modular open source data analytics platform KNIME adding pre-processing support and the ability to edit existing PMML code. It is also shown how the PMML model representation in KNIME can be used within meta learning schemes such as boosting and bagging.

Subjects

Subjects :
Boosting (machine learning)
business.industry
Computer science
Model representation
InformationSystems_DATABASEMANAGEMENT
Modular design
Machine learning
computer.software_genre
ComputingMethodologies_PATTERNRECOGNITION
Open source data
Analytics
Predictive Model Markup Language
Preprocessor
Artificial intelligence
Data mining
ddc:004
business
computer

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....fe0deedc3f0b4a806eafe204eb3de6e1

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