Note on classification and regression tree analysis

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Journal of Korean Society for Quality Management > Volume 30(1); 2002 > Article

Journal of Korean Society for Quality Management 2002;30(1): 152-.

분류와 회귀나무분석에 관한 소고

임용빈, 오만숙

이화여자대학교 통계학과

Note on classification and regression tree analysis

ABSTRACT

The analysis of large data sets with hundreds of thousands observations and thousands of independent variables is a formidable computational task. A less parametric method, capable of identifying important independent variables and their interactions, is a tree structured approach to regression and classification. It gives a graphical and often illuminating way of looking at data in classification and regression problems. In this paper, we have reviewed and summarized tile methodology used to construct a tree, multiple trees and the sequential strategy for identifying active compounds in large chemical databases.

Key Words: Classification and Regression tree;Multiple trees;Sequential Strategy;