Online Program

Who's afraid of big bad data?

Keywords: Machine learning, genetic algorithms, PMML, Java, Medical data, Internet advertising, real time analytics

Thanks to the ever improving economies of data storage, data volumes are growing...perhaps geometrically. Unfortunately our abilities to transform this data into superior decisions and discoveries have not kept pace. Analytic processes have become bottlenecks.

This presentation provides case studies on how machine learning technology (in the form of genetic algorithms) has been employed to uncover predictive patterns from within terabytes of sparse and dirty Internet and medical data. These valuable models can then rapidly deployed via SAS, PMML, or Java code to deliver on the promise of real time analyses.