The latest ACM SIGKDD Explorations Newsletter is out. Focus on open source analytics and PMML

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.

Comprehensive blog featuring topics related to predictive analytics with an emphasis on open standards, …

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.

Comprehensive blog featuring topics related to predictive analytics with an emphasis on open standards, Predictive Model Markup Language (PMML), cloud computing, as well as the deployment and integration of predictive models in any business process.

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