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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,...
Autores principales: | , , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2014
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-53737-0 http://cds.cern.ch/record/1642365 |
_version_ | 1780934954369155072 |
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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. |
id | cern-1642365 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Springer |
record_format | invenio |
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 |
work_keys_str_mv | AT espinrafael softcomputingforbusinessintelligence AT perezrafael softcomputingforbusinessintelligence AT coboangel softcomputingforbusinessintelligence AT marxjorge softcomputingforbusinessintelligence AT valdesariel softcomputingforbusinessintelligence |