If recidivism is defined as rearrest within a finite period following release from prison, then the kinds of outcomes typically available to researchers include: (i) whether or not the individual was rearrested within the follow-up period; (ii) how many times the individual was rearrested; and...

Many simple and complex methods have been developed to solve the classification problem. Boosting is one of the best known techniques for improving the accuracy of classifiers. However, boosting is prone to overfitting with noisy data and the final model is difficult to interpret. Some boosting...

Loyalty and targeting are central topics in Customer Relationship Management. Yet, the information that resides in customer databases only records transactions at a single company, whereby customer loyalty is generally unavailable. In this study, we enrich the customer database with a prediction...

Water utilities typically set residential water prices using one of three rate structures: increasing block rate (IBR), uniform rate (UR), or decreasing block rate (DBR). Historically, DBR has been the most widely used residential rate structure, but water utilities are increasingly switching to...

The rapid expansion of wind farms has drawn attention to operations and maintenance issues. Condition monitoring solutions have been developed to detect and diagnose abnormalities of various wind turbine subsystems with the goal of reducing operations and maintenance costs. This paper explores...

Most induction algorithms for building predictive models take as input training data in the form of feature vectors. Acquiring the values of features may be costly, and simply acquiring all values may be wasteful or prohibitively expensive. Active feature-value acquisition (AFA) selects features...

We develop and test an optimization model for maximizing response rates for online marketing research survey panels. The model consists of (1) a decision tree predictive model that classifies panelists into "states" and forecasts the response rate for panelists in each state and (2) a linear...

This paper demonstrates techniques for pre-eruption prediction of lahar-inundation zones in areas where a volcano has not erupted within living memory and/or where baseline geological information about past lahars could be scarce or investigations to delimit past lahars might be incomplete. A...