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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases Paperback - 2010

by Ashish Ghosh (Editor); Satchidananda Dehuri (Editor); Susmita Ghosh (Editor)

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From the rear cover

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.

Details

  • Title Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
  • Author Ashish Ghosh (Editor); Satchidananda Dehuri (Editor); Susmita Ghosh (Editor)
  • Binding Paperback
  • Edition Softcover reprin
  • Pages 162
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2010-11-19
  • ISBN 9783642096150 / 3642096158
  • Weight 0.56 lbs (0.25 kg)
  • Dimensions 9.21 x 6.14 x 0.38 in (23.39 x 15.60 x 0.97 cm)
  • Category Mathematics
  • Dewey Decimal Code 006.312

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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases.- Knowledge Incorporation in Multi-objective Evolutionary Algorithms.- Evolutionary Multi-objective Rule Selection for Classification
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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (Studies in...
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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (Studies in Computational Intelligence)

by Dehuri, Satchidananda (Editor) / Ghosh, Ashish (Editor) / Ghosh, Susmita (Editor)

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Springer Berlin Heidelberg, 2008. Paperback. New. 174 pages. 9.21x6.06x0.47 inches.
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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

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Springer , pp. 176 . Papeback. New.
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