Multi-objective evolutionary algorithms for knowledge discovery from databases / Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh (eds.).
Material type:
TextSeries: Studies in computational intelligence ; v. 98Publication details: Berlin : Springer, c2008.Description: xiv, 159 p. : ill. ; 24 cmISBN: - 9783540774662
- 3540774661
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Open Shelf
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UMPLIB PEKAN | QA76.9.D343 M858 2008 (Browse shelf(Opens below)) | 1 | Available | 0000033720 |
Includes bibliographical references.
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.