The pmmlTransformations R package can be used to transform data and add new features to be used in predictive PMML models.In this blog post, we will focus…
Organizations increasingly recognize the value that predictive analytics and big data offer to their business. The complexity of development, integration, and deployment of predictive solutions, however, is…
Dr. Alex Guazzelli's talk on PMML and Predictive Analytics to the ACM Data Mining Bay Area/SF group at the LinkedIn auditorium in Sunnyvale, CA.Abstract: (more…)
Predictive analytics is an integral part of our daily lives. At this very moment, predictive solutions are busy at work, monitoring financial transactions for fraud and abuse,…
Developed by the Data Mining Group (DMG), an independent, vendor led committee, PMML provides an open standard for representing data mining models. In this way, models can…
I recently finished writing a four-part article series about predictive analytics entitled Predicting the Future. The topic is near and dear to my heart, since I have…
I just finished reading an excellent posting on the Netflix Tech Blog by Xavier Amatriain and Justin Basilico. Entitled "Netflix Recommendations: Beyond the 5 stars (Part 1)",…
Traditionally, the deployment of predictive solutions have been, to put it mildly, cumbersome. As shown in the Figure below, data mining scientists work hard to analyze historical…
Not all analytic tasks are born the same. If one is confronted with massive volumes of data that need to be scored on a regular basis, in-database…
Organizations around the globe increasingly recognize the value that predictive analytics off (more…)
