Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD courier 1 190 Ft Post 1 795 Ft Post 1 690 Ft Post 1 690 Ft GLS point 1 390 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft DPD point 990 Ft GLS courier 1 790 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

Name: Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 01569746
Price: 39624 HUF
Availability: InStock
Author: Ashish Ghosh
ISBN: 9783540774662

Ashish Ghosh

Satchidananda Dehuri

Susmita Ghosh

Language

English

Book Hardback

Libristo code: 01569746

Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, March 2008

Data Mining (DM) is the most commonly used name to describe such computational analysis of data and... Full description

Libristo code: 01569746

271 b

39 624 Ft

In stock at our supplier Shipping in 10-13 days

30-day return policy

Customers also purchased

Rancheros que la Etnografia Olvido Jorge Maldonado Garcia

Paperback

13 506 Ft

Monster Sandberg

Audio CD

5 445 Ft

Die Frau vom Meer Henrik Ibsen

Paperback

1 758 Ft

Islam Ekonomisi ve Finansi Kolektif

Paperback

7 725 Ft

Ernährung im Säuglings- und Kindesalter Nicole Hübl

Paperback

4 988 Ft

POUR UNE APPROCHE PRAGMATIQUE DES NOUVELLES VERSIONS DES NORMES ISO 9000 A. MEYER

Paperback

9 349 Ft

La France des pâtisseries François Blanc

Hardback

16 709 Ft

Data Mining (DM) is the most commonly used name to describe such computational analysis of data and the results obtained must conform to several objectives such as accuracy, comprehensibility, interest for the user etc. Though there are many sophisticated techniques developed by various interdisciplinary fields only a few of them are well equipped to handle these multi-criteria issues of DM. Therefore, the DM issues have attracted considerable attention of the well established multiobjective genetic algorithm community to optimize the objectives in the tasks of DM.§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.