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Monteith, Brian D. – Journal of Dental Education, 1991
Three principles of classification are stressed in the development of electronic dental patient records and clinical databases: (1) the classification must have a suitable organizing principle; (2) use must be made of standard terminology; and (3) there must be standard operational criteria. (DB)
Descriptors: Automation, Classification, Database Design, Dentistry
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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
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Scheuermann, Peter; Li, Wen-Syan; Clifton, Chris – Journal of the American Society for Information Science, 1998
Presents an approach for dynamic database integration and query processing in the absence of information about attribute correspondences and global IDs. Defines different types of equivalence conditions for the construction of global IDs. Proposes a strategy based on ranked role-sets that makes use of an automated semantic integration procedure…
Descriptors: Automation, Database Design, Information Networks, Information Processing
Bernhardt, Victoria L. – 2000
This guide is designed for school and district administrators and teachers who want to use data to improve their schools, for college and university instructors who teach school administrators, and for support personnel who teach graduate-level education courses. The guide explains how to define the scope of a needed database, how to ready the…
Descriptors: Automation, Computer System Design, Data Processing, Database Design
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van der Wateren, Jan Floris – Library Trends, 1988
Describes a project at the British Architectural Library to automate all of its systems into one integrated database, maintaining the specific requirements of the architectural curator while introducing systems and standards accepted by the librarian. The discussion covers the methods used to achieve a link between objects and documentation. (CLB)
Descriptors: Architecture, Automation, Classification, Database Design
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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
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Allen, Nancy S. – Library Trends, 1988
Describes the development and outcome of a cooperative computerization effort involving nine public and university museums. The discussion covers the project goals, data development and analysis, and contributions resulting form the project. Appendices provide the system data fields used and a comparison between automation of library and museum…
Descriptors: Automation, Classification, Comparative Analysis, Consortia
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Notman, Andrea T. – Information Services & Use, 1994
Describes the history of automation at the Harvard University Art Museums, the collaboration between the museum and a vendor in developing a collections management system, and the current status of the project from the museum's perspective. Topics include imaging technology and image management; file structure; and management of change. (LRW)
Descriptors: Arts Centers, Automation, Change Strategies, Cooperative Programs
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Crall, James J. – Journal of Dental Education, 1991
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…
Descriptors: Automation, Data Analysis, Database Design, Databases