Multi-objective evolutionary algorithms for knowledge discovery from databases / 
Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh (eds.). 
 - Berlin :  Springer,  c2008. 
 - xiv, 159 p. :  ill. ;  24 cm. 
 - Studies in computational intelligence,  v. 98  1860-949X ; .
<br/><br/>Includes bibliographical references. 
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9783540774662 3540774661 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.<br/>Evolutionary computation.