Areal data have been used to good effect in a wide range of sociological research. One of the most persistent problems associated with this type of data, however, is the need to combine data sets with incongruous boundaries. To help address this problem, we introduce a new method for identifying common geographies. We show that identifying common…

In this dissertation we develop a framework that combines data mining, statistics and operations research methods for improving real-time decision support systems in healthcare. Our approach consists of three main concepts: data gathering and preprocessing, modeling, and deployment. We introduce the notion of offline and semi-offline modeling to…

The automated identification of students as they progress through an instructional program is described as an essential capability of the Southwest Regional Laboratory's (SWRL) Instructional Management System (IMS). Performance characteristics of procedures for linking data to individual students (whose records are maintained by IMS) are…