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Palle E. T. Jorgensen
Frame Theory in Data Science
Frame Theory in Data Science
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- More about Frame Theory in Data Science
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.
- Publication date: 11 April 2025
- Page count: 255
- Dimensions: Height 279 mm; Width 210 mm
- Publisher: Springer International Publishing AG
- Format: Paperback
- ISBN-13: 9783031494857
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