Data Mining Group Releases Version 4.0 of the Predictive Model Markup Language (PMML)
The Data Mining Group, a vendor-led consortium of companies and organizations developing standards for statistical and data mining models, announced the general availability of Version 4.0 of the Predictive Model Markup Language (PMML). PMML Version 4.0 may be obtained from the Data Mining Group's web site: www. dmg. org.
Chicago (PRWEB) September 2, 2009
The Data Mining Group, a vendor-led consortium of companies and organizations developing standards for statistical and data mining models, announced the general availability of Version 4.0 of the Predictive Model Markup Language (PMML).
PMML Version 4.0 may be obtained from the Data Mining Group's web site: www. dmg. org.
PMML is the leading standard for statistical and data mining models and supported by over 20 vendors and organizations. With PMML, it is straightforward to develop a model on one system using one application and deploy the model on another system using another application.
Version 4.0 of PMML adds the following new features:
support for time series models;
support for multiple models, which includes support for both segmented models and ensembles of models;
improved support for preprocessing data, which will help simplify deployment of models;
new models, such as survival models;
support for additional information about models called model explanation, which includes information for visualization, model quality, gains and lift charts, confusion matrix, and related information.
"PMML turns the deployment and practical application of predictive models within any existing IT infrastructure into reality, unleashing the power of those models. Without PMML, it would take months for models to be integrated and deployed via custom code or proprietary processes, and at very high additional cost," says Cris Payne, Senior Analytics Scientist for XO Communications, Inc.
This new version of PMML is a major update of PMML Version 3.2, which was released about two years ago in May, 2007.
"PMML simplifies the deployment of analytic models," says Robert Grossman, Chair of the Data Mining Group. "With PMML, deploying a new model is as easy as reading an XML file."
About DMG. The Data Mining Group (DMG) is an independent, vendor led group that develops data mining standards, such as the Predictive Model Markup Language (PMML). For more information, see www. dmg. org.
About IBM. IBM Corp. is the world's largest information technology company, with 80 years of leadership in helping businesses innovate. IBM software offers the widest range of applications, middleware and operating systems for all types of computing platforms, allowing customers to take full advantage of the new era of e-business. Infopshere Warehouse brings IBM's core data-mining technology to a broader range of users, helping them uncover intelligence from large amounts of enterprise data, including information from transaction and e-commerce applications. For more information, see www. ibm. com.
About MicroStrategy, Inc. Founded in 1989, MicroStrategy is a global leader in business intelligence (BI) technology. MicroStrategy provides integrated reporting, analysis, and monitoring software that helps leading organizations worldwide make better business decisions every day. Companies choose MicroStrategy for its advanced technical capabilities, sophisticated analytics, and superior data and user scalability. More information about MicroStrategy (NASDAQ: MSTR) is available at www. microstrategy. com.
About the National Center for Data Mining (NCDM). NCDM is a national resource for research, knowledge transfer and standards development in data mining and data intensive computing. It was founded in 1998 and is located at the University of Illinois at Chicago. For more information please see www. ncdm. uic. edu.
About Open Data Group. Open Data provides management consulting, outsourced analytic services, and analytic staffing so that companies and organizations can analyze data and build analytic models that increase revenues, decrease costs, reduce risk, and improve business operations. For more information please visit www. opendatagroup. com.
About Salford Systems. Founded in 1983, Salford Systems specializes in providing new-generation data-mining and choice-modeling software and consultation services. Applications in both software and consulting span market research segmentation, direct marketing, fraud detection, credit scoring, risk management, bio-medical research and manufacturing quality control. Industries using Salford Systems products and consultation services include telecommunications, transportation, banking, financial services, insurance, healthcare, manufacturing, retail and catalog sales, and education. Salford Systems software is installed at more than 3,500 sites worldwide, including 300 major Universities. For more information, see www. salford-systems. com.
About SAS. SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. SAS helps customers at more than 45,000 business, government and academic sites improve performance and deliver value by making better decisions faster. SAS Analytics provides an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From predictive analytics to model deployment and process optimization, SAS provides a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns, anomalies, key variables and relationships, ultimately leading to new insights and confident answers. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®. For more information, see www. sas. com.
About SPSS. SPSS has become a leader in predictive analytics technologies through a combination of commitment to innovation and dedication to customers. Throughout our history, we have produced predictive analytics software that enables our customers - corporations, academic institutions, healthcare providers, and government agencies - to better focus their operations. SPSS customers combine predictive analysis with their own organizational business knowledge to gain critical insights into customer acquisition and retention, up-selling and cross-selling, fraud detection, and patient outcome improvement. For more information, see www. spss. com.
About Zementis. Zementis, Inc. is a San Diego/Hong Kong based software company focused on predictive analytics and advanced Enterprise Decision Management (EDM) technology. Its transformative solution ADAPA(r), a fully hosted Software-as-a Service (SaaS) solution on the Amazon Elastic Compute Cloud (EC2), is a fast real-time deployment environment for Predictive Analytics Models. With ADAPA(r), which consumes PMML models, deployment is less costly, less complex, with much less time-to-production. For more information please visit www. zementis. com.
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