Multi-objective evolutionary algorithms for knowledge discovery from databases / Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh (eds.).

Other author Ghosh, Ashish, 1966-
Other author Dehuri, Satchidananda.
Other author Ghosh, Susmita.
Format Electronic
Publication InfoBerlin : Springer,
Descriptionxiv, 159 p. : ill. ; 24 cm.
Supplemental ContentFull text available from SpringerLINK Studies in Computational Intelligence Contemporary (1997-present)
Subjects
Data mining.
Evolutionary computation.

SeriesStudies in computational intelligence, 1860-949X ; 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 noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2008921361
ISBN3540774661
ISBN9783540774662