Research Catalog

Multi-objective evolutionary algorithms for knowledge discovery from databases /

Title
Multi-objective evolutionary algorithms for knowledge discovery from databases / Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh (eds.).
Publication
Berlin : Springer, c2008.

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Details

Additional Authors
  • Dehuri, Satchidananda.
  • Ghosh, Ashish, 1966-
  • Ghosh, Susmita.
Description
xiv, 159 p. : ill.; 24 cm.
Series Statement
Studies in computational intelligence, 1860-949X ; v. 98
Subject
  • Data mining
  • Evolutionary computation
Bibliography (note)
  • Includes bibliographical references.
Contents
Genetic algorithm for optimization of multiple objectives in knowledge discovery from large databases / Satchidananda Dehuri, Susmita Ghosh, Ashish Ghosh -- Knowledge incorporation in multi-objective evolutionary algorithms / Ricardo Landa-Becerra ... [et al.] -- Evolutionary multi-objective rule selection for classification rule mining / Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima -- Rule extraction from compact pareto-optimal neural networks / Yaochu Jin, Bernhard Sendhoff, Edgar Körner -- On the usefulness of MOEAs for getting compact FRBSs under parameter tuning and rule selection / R. Alcalá ... [et al.] -- Classification and survival analysis using multi-objective evolutionary algorithms / Christian Setzhorn -- Clustering based on genetic algorithms / M.N. Murty, Babaria Rashmin, Chiranjib Bhattacharyya.
ISBN
  • 3540774661
  • 9783540774662
LCCN
2008921361
Owning Institutions
Princeton University Library