Description: Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, Hardcover by Ghosh, Ashish (EDT); Dehuri, Satchidananda (EDT); Ghosh, Susmita (EDT), ISBN 3540774661, ISBN-13 9783540774662, Like New Used, Free shipping in the US 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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Book Title: Multi-Objective Evolutionary Algorithms for Knowledge Discovery f
Number of Pages: Xiv, 162 Pages
Publication Name: Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2008
Subject: Engineering (General), Intelligence (Ai) & Semantics, Neural Networks, Databases / Data Mining, Applied
Type: Textbook
Item Weight: 33.2 Oz
Author: Ashish Ghosh
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Technology & Engineering
Series: Studies in Computational Intelligence Ser.
Item Width: 6.1 in
Format: Hardcover
