Search for: [Abstract = "In spite of an intensive development of regression rule induction algorithms and fuzzy\-neural systems, the M5 algorithm is still characterized by the generalization ability and unbeatable time of data model creation competitive with other systems. In the paper, two solutions designed to decrease the mean square error of the obtained rules are presented. One consists in introducing into a set of conditional variables the so\-called meta\-variable \(an analogy to constructive induction\) whose values are determined by an autoregressive or the ARIMA model."]

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