Frame Theory in Data Science
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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.
Format:Hardcover
Language:English
ISBN:3031494822
ISBN13:9783031494826
Release Date:April 2024
Publisher:Springer
Length:255 Pages
Weight:1.90 lbs.
Dimensions:0.8" x 8.6" x 11.3"
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