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The tourist satisfaction aims at measuring the customer satisfaction of a particular kind of service: tourism. In order to either detect the tourists satisfaction or point out the best possible alternatives to meet their needs, they have been asked to order a series of actions sorted by dimension. The collected data have been processed through an axiomatic(More)
The framework of this paper is supervised learning using classification trees. Two types of variables play a role in the definition of the classification rule, namely a response variable and a set of predictors. The tree classifier is built up by a recursive partitioning of the prediction space such to provide internally homogeneous groups of objects with(More)
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