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Frame Theory in Data Science. 2024 ed.
・ISBN 978-3-031-49482-6 hard EUR 179.99
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| 著者・編者 | Zhang, Zhihua / Jorgensen, Palle E. T., |
|---|---|
| シリーズ | (Advances in Science, Technology & Innovation) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 255 pp. |
| 言語 | ENG |
| ニュース番号 | <A01-96154> |
解説
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.