1. Comprehensive PMML preprocessing in KNIME
- Author
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Kostantinos Stathatos, Wen-Ching Lin, Michael R. Berthold, and Dominik Morent
- 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 - 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.
- Published
- 2011