Book
Frame Theory in Data Science
Advances in Science, Technology & Innovation, Springer International Publishing
2024
DOI: 10.1007/978-3-031-49483-3
Appears in Recent Books by UI Authors
Abstract
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.
Details
- Title: Subtitle
- Frame Theory in Data Science
- Creators
- Zhihua Zhang - Shandong UniversityPalle E. T. Jorgensen - University of Iowa
- Resource Type
- Book
- Series
- Advances in Science, Technology & Innovation
- DOI
- 10.1007/978-3-031-49483-3
- ISBN
- 9783031494826; 3031494822
- eISBN
- 9783031494833; 3031494830
- ISSN
- 2522-8714
- eISSN
- 2522-8722
- ISSN
- 2522-8714
- Publisher
- Springer International Publishing; Cham, Switzerland
- Number of pages
- 255 pages
- Language
- English
- Date published
- 2024
- Academic Unit
- Mathematics
- Record Identifier
- 9984586158102771
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