System Dependability and Analytics: Approaching System Dependability from Data, System and Analytics Perspectives
Language: English
Published by Springer, 2022
Series: Book 79 of 90 - Springer Series in Reliability Engineering
- Hardcover
- New

Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 322.31
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Add to basketItem description from seller
444 pages. 9.25x6.10x1.00 inches. In Stock.
Seller Inventory # x-3031020626
- Title
- System Dependability and Analytics: Approaching System Dependability from Data, System and Analytics Perspectives
- Author
- Wang, Long (Edited by)/ Pattabiraman, Karthik (Edited by)/ Di Martino, Catello (Edited by)/ Athreya, Arjun (Edited by)/ Bagchi, Saurabh (Edited by)
- Publisher
- Springer
- Publication year
- 2022
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031020626
- ISBN 13
- 9783031020629
- Item weight
- 0.83 kilograms
- Series
- Book 79 of 90: Springer Series in Reliability Engineering
This book comprises chapters authored by experts who are professors and researchers in internationally recognized universities and research institutions. The book presents the results of research and descriptions of real-world systems, services, and technologies. Reading this book, researchers, professional practitioners, and graduate students will gain a clear vision on the state of the art of the research and real-world practice on system dependability and analytics.
The book is published in honor of Professor Ravishankar K. Iyer, the George and Ann Fisher Distinguished Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC), Urbana, Illinois. Professor Iyer is ACM Fellow, IEEE Fellow, AAAS Fellow, and served as Interim Vice Chancellor of UIUC for research during 2008–2011. The book contains chapters written by many of his former students.
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Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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