Tuesday, April 19, 2011

KDD 2011 PMML Workshop - Call for Papers

Predictive Model Markup Language (PMML) Workshop at KDD 2011

Organized by the Data Mining Group (DMG – www.dmg.org ), Sunday August 21, 2011

A half-day workshop on the Predictive Model Markup Language (PMML), including PMML deployment success stories, PMML-based applications, PMML-based architectures, extensions to the PMML standard, and related topics.

The annual ACM SIGKDD conference ( http://www.sigkdd.org/kdd2011/ ) is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. KDD-2011 will feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, demonstrations, and the KDD Cup competition.

We invite submission of papers describing implementations of the Predictive Model Markup Language (PMML), including PMML deployment success stories, PMML-based applications, PMML-based architectures, proposed extensions to the PMML standard, and related topics.

Key Dates:
- Abstracts due: April 30, 2011
- Papers due: May 15, 2011

Please visit the PMML Workshop web site for details:


- Rick Pechter (MicroStrategy), Chair
- Robert Grossman (Open Data Partners and University of Chicago)
- Christoph Lingenfelder (IBM)
- Ashok Savasere (SAS)
- Michael Zeller (Zementis)

Tuesday, April 12, 2011

Universal PMML Plug-in for EMC Greenplum Database

It is our pleasure to announce a new Zementis product, the Universal PMML Plug-in for in-database scoring. Available now for the EMC Greenplum Database, a high-performance massively parallel processing (MPP) database, the plug-in leverages the Predictive Model Markup Language (PMML) to execute predictive models directly within EMC Greenplum, for highly optimized in-database scoring.
Developed by the Data Mining Group (DMG), PMML is supported by all major data mining vendors, e.g., IBM SPSS, SAS, Teradata, FICO, STASTICA, Microstrategy, TIBCO and Revolution Analytics as well as open source tools like R, KNIME and RapidMiner. With PMML, models built in any of these data mining tools can now instantly be deployed in the EMC Greenplum database. The net result is the ability to leverage the power of standards-based predictive analytics on a massive scale, right where the data resides.
"By partnering with Zementis, a true PMML innovator, we are able to offer a vendor-agnostic solution for moving enterprise-level predictive analytics into the database execution environment," said Dr. Steven Hillion, Vice President of Analytics at EMC Greenplum. "With Zementis and PMML, the de-facto standard for representing data mining models, we are eliminating the need to recode predictive analytic models in order to deploy them within our database. In turn, this enables an analyst to reduce the time to insight required in most businesses today."

Want to learn more?

To learn more about how the EMC Greenplum Database and the Universal PMML Plug-in work together, feel free to:
The Universal PMML Plug-in for the EMC Greenplum Database is available now. Contact us today for more information.

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