Machine learning and big data analytics paradigms : analysis, applications and challenges / Aboul Ella Hassanien, Ashraf Darwish, editors.
This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics,...
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| Other Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
2021.
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| Series: | Studies in big data ;
v.77. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications. |
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| Physical Description: | 1 online resource |
| ISSN: | 2197-6503 ; |