Machine Learning

, Volume 1, Issue 1, pp 81–106

Induction of decision trees

  • J. R. Quinlan
Article

DOI: 10.1007/BF00116251

Cite this article as:
Quinlan, J.R. Mach Learn (1986) 1: 81. doi:10.1007/BF00116251

Abstract

The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in several practical applications. This paper summarizes an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in detail. Results from recent studies show ways in which the methodology can be modified to deal with information that is noisy and/or incomplete. A reported shortcoming of the basic algorithm is discussed and two means of overcoming it are compared. The paper concludes with illustrations of current research directions.

Key words

classification induction decision trees information theory knowledge acquisition expert systems 

Copyright information

© Kluwer Academic Publishers 1986

Authors and Affiliations

  • J. R. Quinlan
    • 1
  1. 1.Centre for Advanced Computing SciencesNew South Wales Institute of TechnologySydneyAustralia

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