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• W1993640150 abstract "During the development of information systems, there is a need to prototype the database that the applications will use when in operation. A prototype database can be built by sampling data from an existing database. Including relevant semantic information when extracting a sample from a database is considered invaluable to support the development of data-intensive applications. Functional dependencies are an example of semantic information that could be considered when sampling a database. This paper investigates how a database relation can be sampled so that the resulting sample satisfies precisely a given set of functional dependencies (and its logical consequences), i.e. is an Armstrong relation." @default.
• W1993640150 created "2016-06-24" @default.
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• W1993640150 date "2001-08-01" @default.
• W1993640150 modified "2023-10-16" @default.
• W1993640150 title "Database sampling with functional dependencies" @default.
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• W1993640150 doi "https://doi.org/10.1016/s0950-5849(01)00165-3" @default.
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