http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Multi-objective evolutionary algorithms for knowledge discovery from databases
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.
Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh (eds.).
Electronic reproduction. New York : Springer, 2008. Mode of access: World Wide Web. System requirements: Web browser. Title from title screen (viewed on Oct. 1, 2008). Access may be restricted to users at subscribing institutions.
Studies in computational intelligence. v. 98