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Data Analytics in System Engineering: Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 4 (Lecture Notes in Networks and Systems, 935)

Data Analytics in System Engineering: Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 4 (Lecture Notes in Networks and Systems, 935)

Data Analytics in System Engineering: Proceedings of 7th Computational Methods
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Data Analytics in System Engineering: Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 4 (Lecture Notes in Networks and Systems, 935) Papeback - 2024

by Radek Silhavy (Editor); Petr Silhavy (Editor)

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2024th edition NO-PA16APR2015-KAP. Papeback. New.
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Details

  • Title Data Analytics in System Engineering: Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 4 (Lecture Notes in Networks and Systems, 935)
  • Author Radek Silhavy (Editor); Petr Silhavy (Editor)
  • Binding Papeback
  • Condition New
  • Pages 537
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2024th edition NO-PA16APR20
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 6398694455
  • ISBN 9783031548192 / 3031548191
  • Weight 1.7 lbs (0.77 kg)
  • Dimensions 9.21 x 6.14 x 1.13 in (23.39 x 15.60 x 2.87 cm)
  • Category Technology & Industrial Arts
  • Quantity available 4

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Reader reviews for Data Analytics in System Engineering: Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 4 (Lecture Notes in Networks and Systems, 935)

From the rear cover

These proceedings offer an insightful exploration of integrating data analytics in system engineering. This book highlights the essential role of data in driving innovation, optimizing processes, and solving complex challenges in the field. Targeted at industry professionals, researchers, and enthusiasts, this book serves as a comprehensive resource, providing actionable insights and showcasing transformative applications of data in engineering. It is a must-read for anyone keen on understanding and participating in the ongoing evolution of system engineering in our data-centric world.
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