Abstract: Genetic programming (GP) has emerged as a promising approach to deal with the classification task in data mining. This paper extends the tree ...

Abstract: Genetic Programming (GP) has been emerged as a promising approach to deal with classification task in data mining. This work extends the tree ...

Genetic programming (GP) has emerged as a promising approach to deal with the classification task in data mining. This paper extends the tree representation ...

May 12, 2002 · Genetic programming (GP) has emerged as a promising approach to deal with the classification task in data mining.

This paper introduces a new Grammar-Guided Genetic Programming algorithm for resolving multi-instance learning problems. This algorithm, called G3P-MI, is ...

Mining multiple comprehensible classification rules using genetic programming. Created by W.Langdon from gp-bibliography.bib Revision:1.7764.

Mining multiple comprehensible classification rules using genetic programming. Created by W.Langdon from gp-bibliography.bib Revision:1.6946.

Abstract. Data mining deals with the problem of discovering novel and interesting knowledge from large amount of data. This.

In this paper a genetic programming framework, capable of performing an automatic discovery of classification rules easily comprehensible by humans, is ...

This work it is intended to discover classification rules for diagnosing certain pathologies. These rules are capable of discriminating among 12.