Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Download or Read eBook Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases PDF written by Ashish Ghosh and published by Springer Science & Business Media. This book was released on 2008-03-19 with total page 169 pages. Available in PDF, EPUB and Kindle.
| Author | : Ashish Ghosh |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 169 |
| Release | : 2008-03-19 |
| ISBN-10 | : 9783540774662 |
| ISBN-13 | : 3540774661 |
| Rating | : 4/5 (62 Downloads) |
Book Synopsis Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases by : Ashish Ghosh
Book excerpt: The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.
