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.
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