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Computational Intelligence Applications in Business Intelligence and Big Data Analytics
Computational Intelligence Applications in Business Intelligence and Big Data Analytics
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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. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances i…
  • Leidėjas:
  • ISBN-10: 1498761011
  • ISBN-13: 9781498761017
  • Formatas: 18.5 x 25.7 x 2.5 cm, kieti viršeliai
  • Kalba: Anglų

Computational Intelligence Applications in Business Intelligence and Big Data Analytics (el. knyga) (skaityta knyga) | knygos.lt

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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. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.

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  • Leidėjas:
  • ISBN-10: 1498761011
  • ISBN-13: 9781498761017
  • Formatas: 18.5 x 25.7 x 2.5 cm, kieti viršeliai
  • Kalba: Anglų

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. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.

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