The CN2 Induction Algorithm
Abstract
Systems for inducing concept descriptions from examples are valuable tools for assisting in the task of knowledge acquisition for expert systems. This paper presents a description and empirical evaluation of a new induction system. CN2, designed for the efficient induction of simple, comprehensible production rules in domains where problems of poor description language and/or noise may be present. Implementations of the CN2, ID3, and AQ algorithms are compared on three medical classification tasks.
Cite
Text
Clark and Niblett. "The CN2 Induction Algorithm." Machine Learning, 1989. doi:10.1007/BF00116835Markdown
[Clark and Niblett. "The CN2 Induction Algorithm." Machine Learning, 1989.](https://mlanthology.org/mlj/1989/clark1989mlj-cn2/) doi:10.1007/BF00116835BibTeX
@article{clark1989mlj-cn2,
title = {{The CN2 Induction Algorithm}},
author = {Clark, Peter and Niblett, Tim},
journal = {Machine Learning},
year = {1989},
pages = {261-283},
doi = {10.1007/BF00116835},
volume = {3},
url = {https://mlanthology.org/mlj/1989/clark1989mlj-cn2/}
}