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Soft Computing for Business Intelligence: Studies in Computational Intelligence, cartea 537

Editat de Rafael Espin, Rafael Bello Pérez, Angel Cobo, Jorge Marx, Ariel Racet Valdés
en Limba Engleză Hardback – 16 ian 2014
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 soft computing 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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Specificații

ISBN-13: 9783642537363
ISBN-10: 3642537367
Pagini: 444
Ilustrații: XII, 432 p. 95 illus., 4 illus. in color.
Dimensiuni: 155 x 235 x 29 mm
Greutate: 0.8 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Part I Soft Computing.- Part II Business Intelligence and Knowledge Discovery.- Part III Knowledge Management and Decision Making.

Textul de pe ultima copertă

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.

Caracteristici

Latest research on Soft Computing in Business Intelligence Results of an initiative of the Iberian American Network of Knowledge Discovery Eureka Iberoamerica Written by leading experts in the field