Frame Theory in Data Science
Zhihua Zhang, Palle E.T. Jorgensen
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.
Κατηγορίες:
Έτος:
2024
Έκδοση:
2024
Εκδότης:
Springer
Γλώσσα:
english
Σελίδες:
262
ISBN 10:
3031494822
ISBN 13:
9783031494826
Σειρές:
Advances in Science, Technology & Innovation
Αρχείο:
PDF, 2.46 MB
IPFS:
,
english, 2024