Relational database schema design for uncertain data
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摘要
•Uncertainty in data is modeled by assigning to records a degree of possibility.•Certainty degrees of functional dependencies indicate on which records they hold.•Different degrees of data redundancy can then be defined and observed.•Refined normal forms avoid or minimize data redundancy up to a target degree.•Certainty degrees control classical trade-offs to optimize relational schema design.
论文关键词：Boyce–Codd normal form,Database schema design,Data redundancy,Functional dependency,Normalization,Qualitative reasoning,Third normal form,Uncertain data
论文评审过程：Author links open overlay panelSebastianLinkaPersonEnvelopeHenriPradebEnvelope
论文官网地址：https://doi.org/10.1016/j.is.2019.04.003
