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Overview
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Schedule and Papers
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Organizers
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Sponsor
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PMML
Workshop Proceedings - KDD 2013
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PMML Workshop Overview
As Predictive Analytics and Data Mining continue to gain momentum in industry and
business applications, open standards like the Predictive Model Markup Language (PMML) provide an essential platform to share predictive
models across vendors and to disseminate model-related information within organizations. PMML is a
critical element in the operational application of predictive analytics.
PMML is a mature standard and significantly simplifies the deployment of data mining applications.
If you have any questions please feel free to contact us at
kdd2013_pmml@dmg.org.
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Schedule and Papers Return
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Workshop Schedule at a Glance
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August 11, 2013 Sunday
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02:00-02:15
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Welcome and Introductions
Robert Grossman - Open Data Group, University of Chicago, General Co-Chair KDD 2013
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02:15-02:30
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The R pmmlTransformations Package
Tridivesh Jena, Alex Guazzelli, Wen-Ching Lin, Michael Zeller - Zementis
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02:30-02:45
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PMML in Simulation
Svetlana Levitan, Richard Cohen, Vladimir Shklover - IBM
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02:45-03:00
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Extending the PMML Text Model for Text Categorization
Benjamin De Boe, Misha Bouzinier, Dirk Van Hyfte - InterSystems
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03:00-03:15
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Augustus 0.6: Design and Implementation of a Hot-Swappable PMML Scoring Engine
Jim Pivarski, Collin Bennett, Robert Grossman - Open Data Group
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03:15-03:30
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Application of PMML to Operationalize Thousands of Predictive Models for Retail
Shafi Rahman, Amit Kiran Sowani, Josh Prismon, Andy Flint, Shalini Raghavan - FICO
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03:30-04:00
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Coffee break
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04:00-04:15
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Pattern: PMML for Cascading and Hadoop
Paco Nathan, Girish Kathalagiri - Concurrent, AgilOne
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04:15-04:30
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Extending the Naive Bayes Model Element in PMML: Adding Support for Continuous Input Variables
Alex Guazzelli, Tridivesh Jena, Wen-Ching Lin, Michael Zeller - Zementis
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04:30-04:45
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Ensembles and PMML in KNIME
Alexander Fillbrunn, Iris Ada, Thomas R. Gabriel, Michael R. Berthold - KNIME, Universitat Konstanz
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04:45-05:00
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Wrap Up and Conclusions
Michael Zeller - Zementis
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Organizers Return to Top
Organizing
Committee
- Robert Grossman, Open Data Group and University of Chicago
- Michael Zeller, Zementis
- Svetlana Levitan, IBM
- Walt Wells, Data Mining Group
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