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Information Systems , Volume 9, 1984

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Volume 9, Number 1

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Isamu Kobayashi:
Validating database updates. 1-17
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Henk M. Blanken:
Performance of VIDEBAS in an operational environment. 19-26
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Henri Prade:
Lipski's approach to incomplete information databases restated and generalized in the setting of Zadeh's possibility theory. 27-42
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Ulrich Schiel, António L. Furtado, Erich J. Neuhold, Marco A. Casanova:
Towards multi-level and modular conceptual schema specifications. 43-57
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Mauro Negri, Roberto V. Zicari:
A storage structure definiton language for Codasyl Data Bases. 59-68
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Stavros Christodoulakis:
Estimating Block Selectivities. 69-79

Volume 9, Number 2

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Theo Härder:
Observations on optimistic concurrency control schemes. 111-120
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Dushan Z. Badal:
Semantic integrity enforcement in centralized DBMS and distributed DBMS based on slow (geographically distributed) and fast (local area) networks. 121-138
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John Grant:
Constraint preserving and lossless database transformations. 139-146
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Donald A. Jardine, A. R. Reuber:
Information semantics and the conceptual schema. 147-156
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Didier Plateau:
A pruned trie to index a sorted file and its evaluation. 157-165
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Janusz R. Getta, Henryk Rybinski:
HOLMES: a deduction augmented database management system. 167-179
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Kweku Ewusi-Mensah:
Identifying subsystems in information systems analysis. 181-191

Volume 9, Number 3/4

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Kaname Amano, Masaki Chiba, Akeno Mochida, Takashi Maeda:
An approach toward integrated algorithm information system. 197-206
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Dario Maio, Maria Rita Scalas, Paolo Tiberio:
Dynamic non-dense indexes in relational databases. 207-216
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Hemant K. Jain:
A comprehensive model for the storage structure design of codasyl databases. 217-230
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Danièle Gardy, Claude Puech:
On the sizes of projections: a generating function approach. 231-235
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Wolfgang Effelsberg, Michael V. Mannino:
Attribute equivalence in global schema design for heterogeneous distributed databases. 237-240
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Levent V. Orman:
Nested set languages for functional databases. 241-249
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Carlo Batini, G. Barbara Demo, Antonio Di Leva:
A methodology for conceptual design of office data bases. 251-263

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