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01733nam a22003375i 4500 |
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20211119075613.0 |
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100301s2009 gw | s |||| 0|eng d |
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|a 9783540880455
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024 |
7 |
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|a 10.1007/978-3-540-88045-5
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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245 |
1 |
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|a Innovative Applications in Data Mining /
|c edited by Nadia Nedjah, Luiza de Macedo Mourelle, Janusz Kacprzyk.
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250 |
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|a 1st ed. 2009.
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260 |
# |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2009.
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300 |
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|a XIV, 124 p. 57 illus. :
|b online resource.
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336 |
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|a text
|b txt
|2 rdacontent
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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 169
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505 |
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|a Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images -- A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN -- Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm? -- Clustering Dynamic Web Usage Data -- Towards Characterization of the Data Generation Process -- Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines.
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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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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 Nedjah, Nadia.
|e editor.
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700 |
1 |
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|a Mourelle, Luiza de Macedo.
|e editor.
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700 |
1 |
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|a Kacprzyk, Janusz.
|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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