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Summary In this paper a data-driven procedure is introduced enabling to extract information from complex and huge data sets for statistical purposes. The proposed strategy consists of three stages: tree-partitioning, modelling and model fusion. As a result, we define a final complex decision rule for supervised classification and prediction. Main tools are represented by the tree production rules...
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