Knowledge elicitation from extensive data files inevitably reduces the extracted information content. Results always serve to a subsequent, often dynamic, decision making. Its quality depends critically on the reduction made. This fact is rarely respected in the extensive set of methods for knowledge extraction, often, because of the "curse of dimensionality" connected with the...