説明
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.
本の詳細
形式
ペーパーバック
ページ数
176ページ
言語
英語
公開されました
Nov 19, 2010
出版社
Springer
版
2 版
ISBN-10
3642096158
ISBN-13
9783642096150