G. Ali

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Probabilistic Inductive Learning (PrIL), is a tree induction algorithm that provides a minimum correct classification level with a specified confidence for each rule in the decision tree, This feature is particularly useful in uncertain environments where decisions are based on the induced rules. This paper provides a concise description of (the extended)(More)
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