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Titlebook: Data Base Management: Theory and Applications; Proceedings of the N Clyde W. Holsapple,Andrew B. Whinston Conference proceedings 1983 D. Re

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书目名称Data Base Management: Theory and Applications
副标题Proceedings of the N
编辑Clyde W. Holsapple,Andrew B. Whinston
视频video
丛书名称Nato Science Series C:
图书封面Titlebook: Data Base Management: Theory and Applications; Proceedings of the N Clyde W. Holsapple,Andrew B. Whinston Conference proceedings 1983 D. Re
描述This volume is based on lectures presented at the N.A.T.O. Advanced Studies Institute on Data Base Management Theory and Applications. The meeting took place in Estoril Portugal for a two week periQd in June 1981. The lecturers represented distinguished research centers in industry, gvvernment and academia. Lectures presented basic material in data base management, as well as sharing recent developments in the field. The participants were drawn from data processing groups in government, industry and academia, located in N.A.T.O. countries. All participants had a common goal of learning about the exciting new developments in the field of data base management with the potential for application to their fields of interest. In addition to formal lectures and the informal discussions among participants, which are characteristic of N.A.T.O. AS! gatherings, participants had the opportunity for hands-on experience in building application systems with a data base management system. Participants were organized into groups that designed and implemented application systems using data base technology on micro computers. The collection of papers is organized into four major sections. The first s
出版日期Conference proceedings 1983
关键词Counting; DBMS; calculus; data modelling; database; database management
版次1
doihttps://doi.org/10.1007/978-94-009-7029-8
isbn_softcover978-94-009-7031-1
isbn_ebook978-94-009-7029-8Series ISSN 1389-2185
issn_series 1389-2185
copyrightD. Reidel Publishing Company, Dordrecht, Holland 1983
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978-94-009-7031-1D. Reidel Publishing Company, Dordrecht, Holland 1983
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https://doi.org/10.1007/978-94-007-6751-5In order to achieve a deeper understanding of data modelling in general and of conceptual or semantic data modelling in particular, it is quite useful to analyze the historical evolution of data models. If the analysis is confined to essentials, we can identify three generations of data modelling methods.
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