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Part of the book series: Workshops in Computing ((WORKSHOPS COMP.))

Abstract

Many methods have been used to express the relationships between different pieces of data. In the beginning, all relationships were assumed to be rigid and precise. Objects were either in a set or they were not. All data followed a rule or was incorrect. Traditional database systems are well-suited for storing knowledge explicitly and for deducing definite information from the stored knowledge through explicitly defined rules.

Research partly supported by a fellowship from the Pew Foundation and a grant from Pikeville College

Research partly supported by NSF Grant CCR-9110721

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© 1994 British Computer Society

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Keen, D., Rajasekar, A. (1994). Rough Sets and Data Dependencies. In: Alagar, V.S., Bergler, S., Dong, F.Q. (eds) Incompleteness and Uncertainty in Information Systems. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3242-4_7

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  • DOI: https://doi.org/10.1007/978-1-4471-3242-4_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19897-0

  • Online ISBN: 978-1-4471-3242-4

  • eBook Packages: Springer Book Archive

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