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01863nam a22003495i 4500 |
| 001 |
978-3-540-77467-9 |
| 005 |
20191022141921.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100301s2008 gw | s |||| 0|eng d |
| 020 |
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|a 9783540774679
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| 024 |
7 |
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|a 10.1007/978-3-540-77467-9
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
1 |
0 |
|a Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
|c edited by Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh.
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| 250 |
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|a 1st ed. 2008.
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| 260 |
# |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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| 300 |
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|a XIV, 162 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Studies in Computational Intelligence,
|v 98
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| 505 |
0 |
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|a Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases -- Knowledge Incorporation in Multi-objective Evolutionary Algorithms -- Evolutionary Multi-objective Rule Selection for Classification Rule Mining -- Rule Extraction from Compact Pareto-optimal Neural Networks -- On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection -- Classification and Survival Analysis Using Multi-objective Evolutionary Algorithms -- Clustering Based on Genetic Algorithms.
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| 650 |
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|a Applied mathematics.
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| 650 |
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|a Engineering mathematics.
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| 650 |
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|a Artificial intelligence.
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| 650 |
1 |
4 |
|a Mathematical and Computational Engineering.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 700 |
1 |
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|a Ghosh, Ashish.
|e editor.
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| 700 |
1 |
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|a Dehuri, Satchidananda.
|e editor.
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| 700 |
1 |
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|a Ghosh, Susmita.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-540-77467-9
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