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Soft Computing for Business Intelligence [electronic resource] / edited by Rafael Espin, Rafael Bello P�erez, Angel Cobo, Jorge Marx, Ariel Racet Vald�es.

Contributor(s): Espin, Rafael [editor.] | P�erez, Rafael Bello [editor.] | Cobo, Angel [editor.] | Marx, Jorge [editor.] | Vald�es, Ariel Racet [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 537Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Description: XII, 432 p. 95 illus., 4 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642537370.Subject(s): Engineering | Information technology | Business -- Data processing | Computational intelligence | Engineering | Computational Intelligence | IT in BusinessAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Part I Soft Computing -- Part II Business Intelligence and Knowledge Discovery -- Part III Knowledge Management and Decision Making.
In: Springer eBooksSummary: 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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Part I Soft Computing -- Part II Business Intelligence and Knowledge Discovery -- Part III Knowledge Management and Decision Making.

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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