描述
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.
書籍詳情
格式
平裝書
頁數
176 頁
語言
英語
已出版
Nov 19, 2010
出版商
Springer
版本
2 個版本
ISBN-10
3642096158
ISBN-13
9783642096150