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Title Multi-objective evolutionary algorithms for knowledge discovery from databases / Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh (eds.)
Published Berlin : Springer, [2008]
©2008

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Location Call no. Vol. Availability
 MELB  006.312 Gho/Moe  AVAILABLE
Description xiv, 159 pages : illustrations ; 24 cm
Series Studies in computational intelligence, 1860-949X ; v. 98
Studies in computational intelligence ; v. 98
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
Bibliography Includes bibliographical references
Subject Data mining.
Evolutionary computation.
Genetic algorithms.
Author Dehuri, Satchidananda.
Ghosh, Ashish, 1966-
Ghosh, Susmita.
ISBN 3540774661
9783540774662