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- W1520403065 abstract "This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose appropriate attributes, for the construction of classification rules. Error probabilities for the resultant rule are derived. A classification rule can be further generalized using concept hierarchies. The condition for preventing overgeneralization is derived. Moreover, given a constraint, an algorithm for generating a rule with minimal error probability is proposed." @default.
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- W1520403065 date "1994-01-01" @default.
- W1520403065 modified "2023-09-27" @default.
- W1520403065 title "Quantifying Uncertainty of Knowledge Discovered From Databases" @default.
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- W1520403065 doi "https://doi.org/10.1007/978-1-4471-3238-7_8" @default.
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