We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
KEEL: a software tool to assess evolutionary algorithms for data mining problems.
- Authors
J. Alcalá-Fdez; L. Sánchez; S. García; M. del Jesus; S. Ventura; J. Garrell; J. Otero; C. Romero; J. Bacardit; V. Rivas; J. Fernández; F. Herrera
- Abstract
Abstract This paper introduces a software tool named KEEL which is a software tool to assess evolutionary algorithms for Data Mining problems of various kinds including as regression, classification, unsupervised learning, etc. It includes evolutionary learning algorithms based on different approaches: Pittsburgh, Michigan and IRL, as well as the integration of evolutionary learning techniques with different pre-processing techniques, allowing it to perform a complete analysis of any learning model in comparison to existing software tools. Moreover, KEEL has been designed with a double goal: research and educational.
- Subjects
DECISION support systems; MANAGEMENT information systems; DECISION making; DATA mining
- Publication
Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2009, Vol 13, Issue 3, p307
- ISSN
1432-7643
- Publication type
Article
- DOI
10.1007/s00500-008-0323-y