Statistical and Scientific Database Management
Editat de Maurizio Rafanelli, John C. Klensin, Per Svenssonen Limba Engleză Paperback – 8 feb 1989
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Specificații
ISBN-13: 9783540505754
ISBN-10: 354050575X
Pagini: 468
Ilustrații: XIV, 458 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.7 kg
Ediția:1989
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 354050575X
Pagini: 468
Ilustrații: XIV, 458 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.7 kg
Ediția:1989
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Research topics in statistical and scientific database management : The IV SSDBM.- Statistical data management requirements and the SQL standards—an evolving comparison.- The representation of a temporal data model in the relational environment.- Knowledge based support for the management of statistical databases.- A study of modified interpolation search in compressed, fully transposed, ordered files.- Design of statistical information media: Time performances and storage constraints.- Handling time in query languages.- Software and hardware enhancement of arithmetic coding.- Orthogonal range retrieval using bucket address hashing.- Automatic drawing of statistical diagrams.- The classification problem with semantically heterogeneous data.- Database issues for a veterinary medical expert system.- Ranges and trackers in statistical databases.- A data model, knowledge base, and natural language processing for sharing a large statistical database.- Precision-time tradeoffs: A paradigm for processing statistical queries on databases.- Interpretation of statistical queries to relational databases.- GQL, a graphical query language for semantic databases.- A conceptual model for the representation of statistical data in geographical information systems.- Spatial data base queries: Relational algebra versus computational geometry.- Design of the user-interface for an Object-Oriented statistical data-base.- Knowledge browsing — front ends to statistical databases.- Statistical relational model.- A model of summary data and its applications in statistical databases.- Database management systems for statistical and scientific applications: Are commercially available DBMS good enough?.- Geographical database systems and statistical information.- The analysis of geographicaldata.