Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining

TitleStrategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining
Publication TypeBook Chapter
Year of Publication2005
AuthorsCano, J. R., Herrera F., and Lozano Manuel
EditorGhosh, Ashish, and Jain Lakhmi C.
Book TitleEvolutionary Computation in Data Mining
Pagination21–39
PublisherSpringer Berlin Heidelberg
CityBerlin, Heidelberg
ISBN Number978-3-540-32358-7
Abstract

Evolutionary algorithms are adaptive methods based on natural evolution that may be used for search and optimization. As instance selection can be viewed as a search problem, it could be solved using evolutionary algorithms.

URLhttps://doi.org/10.1007/3-540-32358-9_2
DOI10.1007/3-540-32358-9_2