The purpose of this investigation is to study and pursue a user-defined approach in preserving data privacy while maintaining an acceptable level of data utility using machine learning classification techniques as a gauge in the generation of synthetic data sets. This dissertation will deal with data privacy, data utility, machine learning…

Credit scores have a profound impact on home purchasing power and mortgage pricing, yet little is known about how credit scores influence households' residential location decisions. This study estimates the effects of credit scores on residential sorting behavior using a novel mortgage industry data set combining household demographic, credit, and…

Discusses knowledge management that seeks to minimize information overload in order to enhance performance. Highlights include the differences between data, information, and knowledge; the relationship between learning, knowledge, and performance; the use of focus groups; documenting results; and knowledge classification. (LRW)