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Frame Theory in Data Science

Product Image: Frame Theory in Data Science

Frame Theory in Data Science

0 - Default Title
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.
Product details
Binding:
Paperback
Number of Pages:
255
Release Date:
2025-04-11
Publication Date:
2025-04-11
Publisher:
Springer International Publishing AG
Languages:
Original: English
ISBN10:
3031494857
ISBN13:
9783031494857
GPSR Manufacturer Reference:
Weight:
652 g
Height:
210 cm
Width:
279 cm
Thickness:
15 cm
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