Title | Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining |
Publication Type | Book Chapter |
Year of Publication | 2005 |
Authors | Cano, J. R., Herrera F., and Lozano Manuel |
Editor | Ghosh, Ashish, and Jain Lakhmi C. |
Book Title | Evolutionary Computation in Data Mining |
Pagination | 21–39 |
Publisher | Springer Berlin Heidelberg |
City | Berlin, Heidelberg |
ISBN Number | 978-3-540-32358-7 |
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. |
URL | https://doi.org/10.1007/3-540-32358-9_2 |
DOI | 10.1007/3-540-32358-9_2 |