Frame Theory in Data Science

Frame Theory in Data Science - Advances in Science, Technology & Innovation

Hardback (11 Apr 2024)

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Publisher's Synopsis

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. 

Book information

ISBN: 9783031494826
Publisher: Taishan Distinguished Professorship Fund
Imprint: Springer
Pub date:
Language: English
Number of pages: 255
Weight: 862g
Height: 279mm
Width: 210mm
Spine width: 20mm