Supervised and unsupervised data mining with an evolutionary algorithm

被引：0

作者：

Cattral, R ^{[1
]}

Oppacher, F ^{[1
]}

Deugo, D ^{[1
]}

机构：

[1] Carleton Univ, Sch Comp Sci, Intelligent Syst Res Unit, Ottawa, ON K1S 5B6, Canada

来源：

PROCEEDINGS OF THE 2001 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2001年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes our current research with RAGA (Rule Acquisition with a Genetic Algorithm). RAGA is a genetic algorithm and genetic programming hybrid that is designed for the tasks of supervised and certain types of unsupervised data.. g. Since its initial release we have improved its predictive accuracy and data coverage, as well as its ability to generate more scalable rule hierarchies. These enhancements and several experiments are described.

引用

页码：767 / 774

页数：8

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