Multi-objective evolutionary algorithms for knowledge discovery from databases
By: Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh (eds.).
Contributors: Ghosh, Ashish, 1966-; Dehuri, Satchidananda.; Ghosh, Susmita.
Series: Studies in computational intelligence -- v. 98
Publisher: Springer
Published: 2008
Place of publication: Berlin
Language: eng
Number of pages: 159
ISBN-13: 9783540774662
Subjects: Data mining; Evolutionary computation
Notes: Includes bibliographical references.
Table of contents: title: Genetic algorithm for optimization of multiple objectives in knowledge discovery from large databases / Satchidananda Dehuri, Susmita Ghosh, Ashish Ghosh; title: Knowledge incorporation in multi-objective evolutionary algorithms / Ricardo Landa-Becerra ... [et al.]; title: Evolutionary multi-objective rule selection for classification rule mining / Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima; title: Rule extraction from compact pareto-optimal neural networks / Yaochu Jin, Bernhard Sendhoff, Edgar Körner; title: On the usefulness of MOEAs for getting compact FRBSs under parameter tuning and rule selection / R. Alcalá ... [et al.]; title: Classification and survival analysis using multi-objective evolutionary algorithms / Christian Setzhorn; title: Clustering based on genetic algorithms / M.N. Murty, Babaria Rashmin, Chiranjib Bhattacharyya.