DocumentCode :
3325192
Title :
Inductive learning from examples: a rough sets approach
Author :
Hashemi-Nassab, Ray ; Jelovsek, Frederick R.
Author_Institution :
Dept. of Comput. & Inf. Sci., Arkansas Univ., Little Rock, AR, USA
fYear :
1991
fDate :
3-5 Apr 1991
Firstpage :
346
Lastpage :
349
Abstract :
The authors introduce an algorithm, LEARN, which is used for the purpose of inductive learning from examples. The algorithm LEARN was tested against the ID3 algorithm. LEARN generated less rules for the same set of examples than the ID3 algorithm. Also, the average number of attributes involved in rules generated by LEARN were less than the average number of attributes involved in rules generated by ID3
Keywords :
knowledge based systems; learning systems; ID3 algorithm; LEARN; attributes; inductive learning from examples; intelligent knowledge based systems; rough sets approach; Buildings; Expert systems; Gynaecology; Information science; Knowledge acquisition; Knowledge engineering; Medical diagnostic imaging; Packaging; Rough sets; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Computing, 1991., [Proceedings of the 1991] Symposium on
Conference_Location :
Kansas City, MO
Print_ISBN :
0-8186-2136-2
Type :
conf
DOI :
10.1109/SOAC.1991.143899
Filename :
143899
Link To Document :
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