Описание
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.
Детали книги
Формат
Мягкая обложка
Страницы
176 страниц
Язык
Английский
Опубликовано
Nov 19, 2010
Издатель
Springer
Издания
Изданий: 2
ISBN-10
3642096158
ISBN-13
9783642096150