Spatiotemporal Data Analytics and Modeling Techniques and Applications /

With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial intelligence and machine learning and internet of thing...

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Podrobná bibliografie

Korporativní autor:	SpringerLink (Online service)
Další autoři:	A, John (Editor), Abimannan, Satheesh (Editor), El-Alfy, El-Sayed M. (Editor), Chang, Yue-Shan (Editor)
Médium:	Elektronický zdroj E-kniha
Jazyk:	angličtina
Vydáno:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Vydání:	1st ed. 2024.
Edice:	Big Data Management,
Témata:	Data mining. Quantitative research. Big data. Engineering > Data processing. Data Mining and Knowledge Discovery. Data Analysis and Big Data. Big Data. Data Engineering.
On-line přístup:	https://doi.org/10.1007/978-981-99-9651-3
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!