DocumentCode
982177
Title
Optimized rule induction
Author
Weiss, Sholom M. ; Indurkhya, Nitin
Author_Institution
Rutgers Univ., New Brunswick, NJ, USA
Volume
8
Issue
6
fYear
1993
Firstpage
61
Lastpage
69
Abstract
Swap-1, a state-of-the-art system for learning decision rules from data, is presented. The method embodied in Swap-1 generates reduced-complexity solutions by inducing compact solutions in larger dimensions where many rules might be needed to make accurate predictions. For many applications, such systems can automatically construct relatively compact rule sets with highly predictive performance.<>
Keywords
computational complexity; inference mechanisms; learning (artificial intelligence); learning systems; optimisation; Swap-1; accurate predictions; compact rule sets; compact solutions; decision rule learning; optimized rule induction; predictive performance; reduced-complexity solutions; Accuracy; Character recognition; Classification tree analysis; Databases; Decision trees; Intelligent systems; Learning systems; Neural networks; Parameter estimation; Predictive models;
fLanguage
English
Journal_Title
IEEE Expert
Publisher
ieee
ISSN
0885-9000
Type
jour
DOI
10.1109/64.248354
Filename
248354
Link To Document