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Titlebook: Combating Security Challenges in the Age of Big Data; Powered by State-of- Zubair Md. Fadlullah,Al-Sakib Khan Pathan Book 2020 Springer Nat

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樓主: CYNIC
21#
發(fā)表于 2025-3-25 04:43:44 | 只看該作者
22#
發(fā)表于 2025-3-25 11:01:58 | 只看該作者
Wissen, Kommunikation und Gesellschaft continuously causing existing learned models to lose their predictive accuracy. This chapter will serve as a reference to academicians and industry practitioners who are interested in the niche area of handling concept drift for big data applications.
23#
發(fā)表于 2025-3-25 12:04:11 | 只看該作者
https://doi.org/10.1007/978-3-658-33768-1 the Internet of Things more intelligent than mere monitoring devices. Big data and IoT works well conjointly to offer analysis and insights. With the conjunction of the Internet of things, big data analytics shift the computing paradigm to the edges for real-time decision making.
24#
發(fā)表于 2025-3-25 18:00:21 | 只看該作者
Concept Drift for Big Data, continuously causing existing learned models to lose their predictive accuracy. This chapter will serve as a reference to academicians and industry practitioners who are interested in the niche area of handling concept drift for big data applications.
25#
發(fā)表于 2025-3-25 21:26:16 | 只看該作者
26#
發(fā)表于 2025-3-26 01:41:25 | 只看該作者
27#
發(fā)表于 2025-3-26 05:26:18 | 只看該作者
28#
發(fā)表于 2025-3-26 09:56:34 | 只看該作者
29#
發(fā)表于 2025-3-26 14:28:23 | 只看該作者
Combating Security Challenges in the Age of Big DataPowered by State-of-
30#
發(fā)表于 2025-3-26 19:35:49 | 只看該作者
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