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, ©2008.

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Status	Format	Access	Call Number	Item Location
Request for On-site Use Request Scan How do I pick up this item and when will it be ready?	Text	Use in library	QA76.9.D343 M858 2008	Off-site

Details

Additional Authors

Description

xiv, 159 pages : illustrations; 24 cm

Series Statement

Studies in computational intelligence, 1860-949X ; v. 98

Uniform Title

Studies in computational intelligence ; v. 98.

Subject

Genre/Form

Aufsatzsammlung.

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
9783540774679
354077467X
3642096158
9783642096150

LCCN

2008921361

OCLC

ocn209335645
209335645
SCSB-9175137

Owning Institutions

Princeton University Library