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Optimizing Big Data Management and Industrial Systems With Intelligent Techniques
Optimizing Big Data Management and Industrial Systems With Intelligent Techniques
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In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendat…
  • Leidėjas:
  • Metai: 2018
  • Puslapiai: 216
  • ISBN-10: 1522551379
  • ISBN-13: 9781522551379
  • Formatas: 17.8 x 25.4 x 1.6 cm, kieti viršeliai
  • Kalba: Anglų

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques (el. knyga) (skaityta knyga) | knygos.lt

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In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems. Featuring coverage on a broad range of topics such as digital economy, fuzzy logic, and data linkage methods, this book is ideally designed for manufacturers, engineers, professionals, managers, academicians, and students.

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  • Leidėjas:
  • Metai: 2018
  • Puslapiai: 216
  • ISBN-10: 1522551379
  • ISBN-13: 9781522551379
  • Formatas: 17.8 x 25.4 x 1.6 cm, kieti viršeliai
  • Kalba: Anglų

In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems. Featuring coverage on a broad range of topics such as digital economy, fuzzy logic, and data linkage methods, this book is ideally designed for manufacturers, engineers, professionals, managers, academicians, and students.

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