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Leading software providers, open source projects, and financial services companies add their support to the Predictive Model Markup Language (PMML).

Chicago (PRWEB) October 15, 2009 -- The Data Mining Group (DMG), a vendor-led consortium of companies and organizations developing standards for statistical and data mining models, announced that six new members have joined the group.

The DMG's Predictive Model Markup Language (PMML) has become the dominant standard for the data mining and predictive analytics industry. PMML is an XML-based language for representing predictive models, as well as all the necessary data pre- and post-processing. It allows for the seamless interchange of models between different tools and environments, avoiding proprietary issues and facilitating the deployment of predictive analytics in operational systems.

"It is our pleasure to announce that Equifax and Visa, two leading companies in financial services have joined DMG," says Robert Grossman, Chair of the DMG and Managing Partner of the Open Data Group. "The involvement of these companies in the development of PMML makes clear the broad acceptance that PMML is enjoying because of its proven ability to accelerate the time-to-market for predictive analytics and eliminate the need for proprietary solutions."

In addition, two leading software vendors, TIBCO and Pervasive Software, have joined the standards group as Associate Members, participating in the future development of PMML and extending its broad support among key commercial data mining products.

"The Predictive Model Markup Language continues to gain momentum in the data mining community as the de-facto standard for model exchange." says Dr. Michael Zeller, DMG Membership Chair and CEO of Zementis. "We welcome KNIME and Rapid-I as new members of the DMG. By adding PMML support to their products, KINME and Rapid-I have joined over 15 companies and organizations that are participating in the development of the standard."

If you think is would be appropriate, you could also put in a short paragraph about the PMML interest group on LinkedIn. It has grown to 350 members in just a few weeks which tells me that there is a great need for education about the PMML standard, not only among data mining practitioners but especially for folks in IT and business. Here is the link to subscribe to the group.

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Visit and join PMML LinkedIn group.