Using Predicted Bioactivity Profiles to Improve Predictive Modeling

From Customer Risk to Corporate Strategy: Using Text Analysis and Predictive Modeling to Improve Promoter Scores

A Cluster-based Predictive Modeling to Improve Pedagogic Reasoning

This paper discusses a cluster knowledge-based predictive modeling framework actualized in a learning agent that leverages on the capability of a clustering algorithm to discover in logged tutorial interactions unknown structures that may exhibit predictive characteristics. The learned cluster models are described along learner-system interaction attributes, i.e., in terms of the learner’s know...

Value-based benefit design: using a predictive modeling approach to improve compliance.

BACKGROUND Increased medication compliance rates have been demonstrated to result in improved clinical outcomes and reduced overall medical expenditures. As such, managed care stakeholders should take the total value approach to benefit design and consider total medical costs beyond the cost of pharmacotherapy alone. OBJECTIVES To describe the value-based benefit design employed by Pitney Bow...

Using rule extraction to improve the comprehensibility of predictive models

Whereas newer machine learning techniques, like artificial neural networks and support vector machines, have shown superior performance in various benchmarking studies, the application of these techniques remains largely restricted to research environments. A more widespread adoption of these techniques is foiled by their lack of explanation capability which is required in some application area...

Using Course and Student Profiles to Improve Student Success