Paper Info
Title
AREX - Classification Rules Extracting Algorithm Based on Automatic Programming
Abstract
The paper presents a hybrid classification method of BNF grammar-based genetic programming and evolutionary decision tree induction, customized for the rule induction according to a layered hierarchical scheme - the AREX approach. It incorporates two original, independent evolutionary algorithms which together solve the problem of automatic classification rules induction. The method is applied to five real world databases (from medicine and software engineering) and the results are compared to those obtained with C5/See5 to evaluate the method's efficiency. Ideally, this paper will inspire future research in this same area and along similar lines.
Year
Venue
Keywords
2002
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS
software engineering,evolutionary algorithm
Field
DocType
Volume
Decision tree,Evolutionary algorithm,Computer science,Algorithm,Grammar,Genetic programming,Rule induction,Artificial intelligence,Machine learning,Automatic programming
Conference
77
ISSN
Citations 
PageRank 
0922-6389
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Vili Podgorelec119933.00
Peter Kokol230974.52
Ivan Rozman3414122.20