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Knowledge Processing with Interval and Soft Computing

Massive datasets, made available today by modern technologies, present a significant challenge to scientists who need to effectively and efficiently extract relevant knowledge and information. Due to their ability to model uncertainty, interval and soft computing techniques have been found to be eff...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Hu, Chenyi. (Editor , http://id.loc.gov/vocabulary/relators/edt), Baker Kearfott, R. (Editor , http://id.loc.gov/vocabulary/relators/edt), de Korvin, Andre. (Editor , http://id.loc.gov/vocabulary/relators/edt), Kreinovich, Vladik. (Editor , http://id.loc.gov/vocabulary/relators/edt)
Formato: Electrónico eBook
Lenguaje:English
Publicado: London : Springer London : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Series:Advanced Information and Knowledge Processing,
Materias:
Data mining.
Application software.
Applied mathematics.
Engineering mathematics.
Computer science—Mathematics.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Information Systems Applications (incl. Internet).
Applications of Mathematics.
Discrete Mathematics in Computer Science.
Artificial Intelligence.
Acceso en línea:https://doi.org/10.1007/978-1-84800-326-2
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https://doi.org/10.1007/978-1-84800-326-2

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