PMML is the leading standard for statistical and data mining models and supported by over 20 vendors and organizations. With PMML, it is easy to develop a model on one system using one application and deploy the model on another system using another application, simply by transmitting an XML configuration file.
PFA is an emerging standard for statistical models and data transformation engines. PFA combines the ease of portability across systems with algorithmic flexibility: models, pre-processing, and post-processing are all functions that can be arbitrarily composed, chained, or built into complex workflows. PFA may be as simple as a raw data transformation or as sophisticated as a suite of concurrent data mining models, all described as a JSON or YAML configuration file.
Aug 2017Join us for a breakfast roundtable Monday morning, 8.14.17. This roundtable breakfast seeks to advance the conversation about the community's needs and the opportunities presented by existing standards. RSVP at: http://bit.ly/StandardsSIGKDD2017.
Aug 2016- As part of SIGKDD's sponsorship of the DMG, there will be a special session on Tuesday 8.16.2016 in San Francisco, CA as part of the KDD 2016 conference. The session on Standards in Predictive Analytics will feature invited talks from prominent industry professionals and a panel discussion titled Internet of Things, Industrial Internet, and Instrumented Environments: the Furious Need for Standards. Visit the session site for more information.
May 2016- Planning to be in Chicago for the June PAW conference? Interested in deploying predictive models with standards based methods? Join us for a breakfast roundtable Tuesday morning, 6.21.16. This roundtable breakfast seeks to advance the conversation about the community's needs and the opportunities presented by existing standards. RSVP at: bit.ly/DMGRoundtable.
January 2016- PFA is featured on KDNuggets.
The Data Mining Group is a consortium managed by the Center for Computational Science Research, Inc., which is an Illinois based 501(c)(3) not-for-profit corporation