Soft Computing for Business Intelligence: 537 (Studies in Computational Intelligence, 537) - Image 1

£76.38

Springer Soft Computing for Business Intelligence: 537 (Studies in Computational Intelligence, 537)

Name: Soft Computing for Business Intelligence: 537 (Studies in Computational Intelligence, 537)
Brand: Springer
Price: 76.38 GBP
Availability: InStock

Managers' Guides to Computing

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Description

Product Description Written by leading experts in the field, this interdisciplinary volume contains more than 25 papers divided into three sections covering soft computing, business intelligence and knowledge discovery, and knowledge management and decision-making. From the Back Cover 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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3662509032
Category: Books > Subjects > Business, Finance & Law > E-Commerce > Managers' Guides to Computing
Domain: Amazon UK
Release Date: 27 August 2016
Listed Since: 18 August 2016

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Springer Soft Computing for Business Intelligence: 537 (Studies in Computational Intelligence, 537)

New to our records — first sighting 18 days ago. We'll learn its rhythm.

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