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Soft computing for business intelligence

The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg. It contains twenty-seven papers allocated to three sections: Soft Computing,...

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Detalles Bibliográficos
Autores principales: Espin, Rafael, Pérez, Rafael, Cobo, Angel, Marx, Jorge, Valdés, Ariel
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-53737-0
http://cds.cern.ch/record/1642365
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author Espin, Rafael
Pérez, Rafael
Cobo, Angel
Marx, Jorge
Valdés, Ariel
author_facet Espin, Rafael
Pérez, Rafael
Cobo, Angel
Marx, Jorge
Valdés, Ariel
author_sort Espin, Rafael
collection CERN
description The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg. It contains twenty-seven papers allocated to three sections: Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle “Observation and Analysis” while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other softcomputing elements. The book tears down the traditional focus on business, and extends Business Intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2014
publisher Springer
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spelling cern-16423652021-04-21T21:22:11Zdoi:10.1007/978-3-642-53737-0http://cds.cern.ch/record/1642365engEspin, RafaelPérez, RafaelCobo, AngelMarx, JorgeValdés, ArielSoft computing for business intelligenceEngineeringThe book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg. It contains twenty-seven papers allocated to three sections: Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle “Observation and Analysis” while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other softcomputing elements. The book tears down the traditional focus on business, and extends Business Intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability.Springeroai:cds.cern.ch:16423652014
spellingShingle Engineering
Espin, Rafael
Pérez, Rafael
Cobo, Angel
Marx, Jorge
Valdés, Ariel
Soft computing for business intelligence
title Soft computing for business intelligence
title_full Soft computing for business intelligence
title_fullStr Soft computing for business intelligence
title_full_unstemmed Soft computing for business intelligence
title_short Soft computing for business intelligence
title_sort soft computing for business intelligence
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-53737-0
http://cds.cern.ch/record/1642365
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AT marxjorge softcomputingforbusinessintelligence
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