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Titlebook: Big Data Optimization: Recent Developments and Challenges; Ali Emrouznejad Book 2016 Springer International Publishing Switzerland 2016 Bi

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樓主: 貪污
21#
發(fā)表于 2025-3-25 07:17:50 | 只看該作者
Big Data Optimization Within Real World Monitoring Constraints, by allowing these systems to comply to real world constrains in the area of performance, reliability and reliability. Using several examples of real world monitoring systems this chapter discusses different approaches in optimization: data, analysis, system architecture and goal oriented optimization.
22#
發(fā)表于 2025-3-25 09:20:09 | 只看該作者
23#
發(fā)表于 2025-3-25 11:43:11 | 只看該作者
24#
發(fā)表于 2025-3-25 18:56:39 | 只看該作者
Patrice Degoulet,Marius Fieschil performance tools for big data optimization from various aspects, including the requirements of ideal performance tools, the challenges of performance tools, and state-of-the-art performance tool examples.
25#
發(fā)表于 2025-3-25 23:19:39 | 只看該作者
Performance Tools for Big Data Optimization,l performance tools for big data optimization from various aspects, including the requirements of ideal performance tools, the challenges of performance tools, and state-of-the-art performance tool examples.
26#
發(fā)表于 2025-3-26 02:47:32 | 只看該作者
Susannah Orzell,Amar Suryadevaralarge data handling different scientific communities are working. We employ scientometric mapping techniques to identify who works on what in the area of big data and large scale optimization problems.
27#
發(fā)表于 2025-3-26 05:18:32 | 只看該作者
28#
發(fā)表于 2025-3-26 09:12:01 | 只看該作者
2197-6503 ne book.Presents useful big data optimization applications i.The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in
29#
發(fā)表于 2025-3-26 16:28:37 | 只看該作者
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發(fā)表于 2025-3-26 18:49:09 | 只看該作者
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