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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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Gorde:
Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: A, John (Argitaratzailea), Abimannan, Satheesh (Argitaratzailea), El-Alfy, El-Sayed M. (Argitaratzailea), Chang, Yue-Shan (Argitaratzailea)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edizioa:1st ed. 2024.
Saila:Big Data Management,
Gaiak:
Data mining.
Quantitative research.
Big data.
Engineering > Data processing.
Data Mining and Knowledge Discovery.
Data Analysis and Big Data.
Big Data.
Data Engineering.
Sarrera elektronikoa:https://doi.org/10.1007/978-981-99-9651-3
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