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Computational intelligence applications in business : Intelligence and big data analytics

By: Contributor(s): Material type: TextTextPublication details: Boca Raton Auerbach 2023Description: 362 pages illustrations (black and white, and colour) ; 26 cmISBN:
  • 9781032476766
Subject(s): DDC classification:
  • 658.4038 SUG 2023
Contents:
Part I INTRODUCTION1 Computational Intelligence Paradigms in Business Intelligence and Analytics Part II COMPUTAT IONAL INTELLIGENCE IN BUSINESS INTELLIGENCE AND ANALYTICS2 Conditional Value at Risk-Based Portfolio Optimization Using
Summary: There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence.
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Part I INTRODUCTION1 Computational Intelligence Paradigms in Business Intelligence and Analytics Part II COMPUTAT IONAL INTELLIGENCE IN BUSINESS INTELLIGENCE AND ANALYTICS2 Conditional Value at Risk-Based Portfolio Optimization Using

Part I INTRODUCTION1 Computational Intelligence Paradigms in Business Intelligence and Analytics Part II COMPUTAT IONAL INTELLIGENCE IN BUSINESS INTELLIGENCE AND ANALYTICS2 Conditional Value at Risk-Based Portfolio Optimization Using

There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence.

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