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Wong, S. K. M.; Butz, C. J.; Xiang, Y. – Journal of the American Society for Information Science, 1998
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…
Descriptors: Algorithms, Automation, Data Analysis, Database Design
Peer reviewed Peer reviewed
Norton, M. Jay – Library Trends, 1999
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…
Descriptors: Access to Information, Automation, Bibliographic Databases, Classification