Classification and Regression Trees.

Abstract

The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.

Keywords

Computer scienceFocus (optics)Construct (python library)Tree (set theory)RegressionRegression analysisPencil (optics)MathematicsMachine learningStatisticsArtificial intelligenceProgramming languageCombinatoricsEngineering

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Publication Info

Year: 1984
Type: article
Volume: 40
Issue: 3
Pages: 874-874
Citations: 23834
Access: Closed

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APA Style

                            
                                
                                    Alexander Gordon, 
                                
                                    Leo Breiman, 
                                
                                    Jerome H. Friedman
                                
                                et al.
                            
                            (1984). 
                            Classification and Regression Trees.. 
                            Biometrics
                            , 40
                            (3)
                            , 874-874.
                            https://doi.org/10.2307/2530946
                        

Identifiers

DOI: 10.2307/2530946