A Rule - Based Similarity
نویسنده
چکیده
An induction-based method for retrieving similar cases and/or easily adaptable cases is presented in a 3-steps process : rst, a rule set is learned from a data set ; second, a reformulation of the problem domain is derived from this ruleset ; third, a surface similarity with respect to the reformulated problem appears to be a structural similarity with respect to the initial representation of the domain. This method achieves some integration between machine learning and case-based reasoning : it uses both compiled knowledge (through the similarity measure and the ruleset it is derived from) and instanciated knowledge (through the cases).
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