Induction of decision trees
期刊 Machine Learning
出版社 Springer Netherlands
2011奥斯卡ISSN 0885-6125 (Print) 1573-0565 (Online)
期 Volume 1, Number 1 / 1986年3月
DOI 10.1007/BF00116251
页 81-106
isbn
学科分类 计算机科学
SpringerLink Date 2004年11月6日
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Induction of decision trees
J. R. Quinlan1
(1) Centre for Advanced Computing Sciences, New South Wales Institute of Technology, 2007 Sydney, Australia
Received: 1 August 1985
Abstract The technology for building knowledge-bad systems by inductive inference from examples has been demonstrated successfully in veral practical applications. This paper summarizes an approach to synthesizing decision trees that has been ud in a va
riety 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 discusd and two means of overcoming it are compared. The paper concludes with illustrations of current rearch directions.
Key words classification - induction - decision trees - information theory - knowledge acquisition - expert systems
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J. R. Quinlan
Email: !quinlan@v
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