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Computationally Efficient Linear Regression Trees

  • Luis Torgo
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

This paper describes a method for obtaining regression trees using linear regression models in the leaves in a computationally efficient way that allows the use of this method on large data sets. This work is focused on deriving a set of formulae with the goal of allowing an efficient evaluation of all candidate tests that are considered during tree growth.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Luis Torgo
    • 1
  1. 1.LIACC/FEP, University of PortoPortoPortugal

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