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Titlebook: Statistical and Scientific Database Management; Fifth International Zbigniew Michalewicz Conference proceedings 1990 Springer-Verlag Berli

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楼主: 宗派
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GRASP: A graphical system for statistical databases,nd a friendly extraction of information from the database. Moreover, the user often needs data at different aggregation levels, as a result of continuing operations or for statistical analysis. This interaction is usual in scientific and socio- economic applications, but also exists in any business
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A visual interface for browsing and manipulating statistical entities,al point of view, is based on an extension of the Grass logical model. The commands for the manipulation of the statistical entities which were realized in this interface are based on the macro-data algebra defined in the Mefisto functional model. By means of this interface it is possible to browse
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The implementation of area and membership retrievals in point geography using SQL,ographical distribution of some diseases in the UK. The brief is to hold data on events (including death and cancer registration) identified by geographical location, and to produce event rates and analyses based on arbitrary geographical or administrative aggregations around industrial installation
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Using a blackboard architecture in a distributed DBMS environment: An expert system application,A number of methodologies are used to extract rules from a large database of statistical information. An ORACLE DBMS running on a SEQUENT parallel machine forms the core of the data management component. A natural integration of the DBMS with this blackboard planning strategy is outlined.
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,Deductive mathematical databases — A case study,s, arbitrary precision integers, character strings, irrational numbers, and rules for deducing information from the given facts. Issues involved in the setting up of this database are presented. An experiment on the construction of all fusion maps among the groups was performed and the results analysed.
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Platypus: Inheritance and scientific discovery,values, and exception handling. Drawing upon the biological analogy the present discussion has proposed the use of dominant versus recessive markers to control contingent inheritance. Finally, there has been a discussion of how inheritance can be implemented within the framework of an RM/T model.
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