Frame Theory in Data Science

By Palle E.T. Jorgensen, 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.

• 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"