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Inductive Logic Programming (ILP) is one of the main approaches to relational learning, with the stronger expressive power and the ease of using background knowledge. However, compared with the traditional attribute-value learning methods, it is much less mature for ILP to deal with imperfect data. This paper applies the Tolerance Rough Set to ILP to further extend the RS-ILP model. We first investigate...
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