01628nam a2200241 a 4500001001400000003000700014005001700021008004100038020001800079020001500097040000800112245014400120260003200264300003400296440006300330504004100393505083200434650001701266650003001283700002601313700002701339700002001366vtls000029616KUKTEM20251117144616.0080623s2008    gw a     b    001 0 eng    a9783540774662  a3540774661  aUMP00aMulti-objective evolutionary algorithms for knowledge discovery from databases /cAshish Ghosh, Satchidananda Dehuri, Susmita Ghosh (eds.).  aBerlin :bSpringer,cc2008.  axiv, 159 p. :bill. ;c24 cm. 0aStudies in computational intelligence,x1860-949X ;vv. 98  aIncludes bibliographical references.0 aGenetic 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. 0aData mining. 0aEvolutionary computation.1 aGhosh, Ashish,d1966-1 aDehuri, Satchidananda.1 aGhosh, Susmita.