Thursday, October 15, 2009
The latest issue of ACM SIGKDD Explorations is out! This issue is relevant in many ways, since it not only gives special attention to open source analytics (including articles on Weka and KNIME), but it also discusses PMML and cloud computing.
PMML, in particular, gets special treatment. It is described in a full article written by Rick Pechter from Microstrategy. As Rick puts it, "the Predictive Model Markup Language data mining standard has arguably become one of the most widely adopted data mining standards in use today."
PMML is also discussed in most of the other articles, including the one by Zementis, entitled: "Efficient Deployment of Predictive Analytics through Open Standards and Cloud Computing". In this article, we use the ADAPA scoring engine to illustrate how the benefits of PMML and cloud computing can be combined to offer a platform that leverages these elements to deliver an efficient deployment process for statistical models.
So, don't miss out on this issue of SIGKDD Explorations. We invite you to explore all the peer-reviewed articles in detail.
Wednesday, October 14, 2009
PMML awareness is growing. Many companies have recently joined the DMG (Data Mining Group) and others are already in the process of adopting PMML as their main vehicle to represent models and data manipulation. The availability of PMML resources is key to its success.
Zementis and the other DMG members are committed to publish training material on PMML. We have posted many PMML tutorials on our support pages which are already being used by the community at large.
We realized though that there aren't that many presentations about PMML out there. So, we decided to make one available. To download it, click HERE. Hope you find it useful! And, feel free to pass it around.
The same presentation is also available in the Analytic Bridge website (PMML discussion group).
The Predictive Model Markup Language (PMML) is the leading standard for representing statistical and data mining models. 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. PMML reduces complexity and bridges the gap between development and production deployment of predictive analytics.
PMML is governed by the Data Mining Group (DMG), an independent, vendor led consortium that develops data mining standards. PMML is currently supported by over 20 vendors and organizations and awareness as well as use of the standard is growing quickly. To establish a conduit in which people can come together to learn and discuss topics related to PMML, we have recently created a PMML interest group in LinkedIn. The group aims to serve as a central resource regarding the practical application of PMML, its benefits for business and IT. PMML increases business agility by eliminating the need for proprietary solutions or custom code development. For this reason, it is a critical element in the quest for business process optimization and automated, intelligent decisions.
We encourage active participation in the PMML group from the entire community, please post your questions! The group already contains postings related to
- The value of PMML for business and IT
- PMML powered products
- Links to a general introduction and overview presentation
If your organization is already supporting the PMML standard, please feel welcome to share information about your products which do so.
To join the Predictive Model Markup Language (PMML) group on LinkedIn, please follow this link: http://www.linkedin.com/groupRegistration?gid=2328634
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