caa a22 4500 467954739 CHVBK 20180323165704.0 cr unu---uuuuu 170328e19890301xx s 000 0 eng 10.1007/BF00116835 doi (NATIONALLICENCE)springer-10.1007/BF00116835 (NATIONALLICENCE)springer-10.1023/A:1022641700528 The CN2 induction algorithm [Elektronische Daten] [Peter Clark, Tim Niblett] 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. Kluwer Academic Publishers, 1989 Concept learning nationallicence rule induction nationallicence noise nationallicence comprehensibility nationallicence Clark Peter The Turing Institute, 36 North Hanover Street, G1 2AD, Glasgow, U.K. aut Niblett Tim The Turing Institute, 36 North Hanover Street, G1 2AD, Glasgow, U.K. aut Machine Learning Kluwer Academic Publishers 3/4(1989-03-01), 261-283 0885-6125 3:4<261 1989 3 10994 https://doi.org/10.1007/BF00116835 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00116835 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Clark Peter The Turing Institute, 36 North Hanover Street, G1 2AD, Glasgow, U.K aut NATIONALLICENCE 700 1- Niblett Tim The Turing Institute, 36 North Hanover Street, G1 2AD, Glasgow, U.K aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers 3/4(1989-03-01), 261-283 0885-6125 3:4<261 1989 3 10994 NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1022641700528 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Clark Peter E-mail: PETE@TURING.AC.UK aut NATIONALLICENCE 700 1- Niblett Tim E-mail: TIM@TURING.AC.UK aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers-Plenum Publishers 3/4(1989-03-01), 261-283 0885-6125 3:4<261 1989 3 10994 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE NATIONALLICENCE NL-springer