PMML conformance progress report: five years later
Proceedings of the 2011 workshop on Predictive markup language modeling
Proceedings of the 2011 workshop on Predictive markup language modeling
Massively parallel in-database predictions using PMML
Proceedings of the 2011 workshop on Predictive markup language modeling
Comprehensive PMML preprocessing in KNIME
Proceedings of the 2011 workshop on Predictive markup language modeling
The PMML path towards true interoperability in data mining
Proceedings of the 2011 workshop on Predictive markup language modeling
SEWEBAR-CMS: semantic analytical report authoring for data mining results
Journal of Intelligent Information Systems
Automated self-service modeling: predictive analytics as a service
Information Systems and e-Business Management
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PMML (Predictive Model Markup Language) is the de facto standard used to represent and share predictive analytic solutions between applications. This enables data mining scientists and users alike to easily build, visualize, and deploy their solutions using different platforms and systems. This book presents PMML from a practical perspective. It contains a variety of code snippets so that concepts are made clear through the use of examples. "PMML in Action" is a great way to learn how to represent your predictive models through a mature open standard. The book is divided into six parts, taking you into a PMML journey in which language elements and attributes are used to represent not only modeling techniques but also data transformations. With PMML, users benefit from a single and concise standard to represent data and models, thus avoiding the need for custom code and proprietary solutions. You too can join the PMML movement! Unleash the power of predictive analytics and data mining today!