In this age of information explosion, the "internal skills" of programmers—algorithms and data structures—are particularly ...

Survey and longitudinal studies in the social and behavioral sciences generally contain missing data. Mean and covariance structure models play an important role in analyzing such data. Two promising ...

DEA (Data Envelopment Analysis) attempts to identify sources and estimate amounts of inefficiencies contained in the outputs and inputs generated by managed entities called DMUs (Decision Making Units ...

Recorded content contains a vast amount of information. Relying solely on manual extraction of core data and labeling not ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

Police have always relied on data — whether push pins tracking crimes on a map, mug shot cards, or intelligence files on repeat offenders. The problem with all that information is that it has ...

An AI algorithm based only on routine mammogram images plus age can predict a woman's risk of major cardiovascular disease as ...