Frame Theory in Data Science

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,

Éditeur :

Springer


Collection :

Advances in Science, Technology & Innovation

Paru le : 2024-04-10

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Description
This book establishes brand-new frame theory and technical implementation in data science, with a special focus on spatial-scale feature extraction, network dynamics, object-oriented analysis, data-driven environmental prediction, and climate diagnosis. Given that data science is unanimously recognized as a core driver for achieving Sustainable Development Goals of the United Nations, these frame techniques bring fundamental changes to multi-channel data mining systems and support the development of digital Earth platforms. This book integrates the authors' frame research in the past twenty years and provides cutting-edge techniques and depth for scientists, professionals, and graduate students in data science, applied mathematics, environmental science, and geoscience. 
Pages
255 pages
Collection
Advances in Science, Technology & Innovation
Parution
2024-04-10
Marque
Springer
EAN papier
9783031494826
EAN PDF
9783031494833

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
3697 Ko
Prix
179,34 €
EAN EPUB
9783031494833

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
42373 Ko
Prix
179,34 €