Describes a bottom-up procedure for discovering multivalued dependencies in observed data without knowing a priori the relationships among the attributes. The proposed algorithm is an application of technique designed for learning conditional independencies in probabilistic reasoning; a prototype system for automated database schema design has…

Knowledge discovery in databases (KDD) revolves around the investigation and creation of knowledge, processes, algorithms, and mechanisms for retrieving knowledge from data collections. The article is an introductory overview of KDD. The rationale and environment of its development and applications are discussed. Issues related to database design…

The paper addresses the potential of informatics to patient care quality assurance curricula, focusing on (1) terminology and developments related to quality of care evaluations; (2) criticisms of traditional approaches; (3) limitations of existing data sources for quality assurance in dentistry; and (4) quality assurance considerations in…