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Engineering - Computational Intelligence and Complexity | Soft Computing for Business Intelligence

Soft Computing for Business Intelligence

Espin, R., Pérez, R.B., Cobo, A., Marx, J., Valdés, A.R. (Eds.)

2014, XII, 432 p. 95 illus., 4 illus. in color.

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  • 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

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.

Content Level » Research

Keywords » Business Intelligence - Computational Intelligence - Soft Computing

Related subjects » Business Information Systems - Computational Intelligence and Complexity

Table of contents 

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

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