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Can I read Frame Theory in Data Science (Advances in Science, Technology & Innovation) on EtoBox?
Frame Theory in Data Science (Advances in Science, Technology & Innovation) by Zhihua Zhang, Palle E. T. Jorgensen is a nonfiction available to read on EtoBox.
What is Frame Theory in Data Science (Advances in Science, Technology & Innovation) about?
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.
Who reads Frame Theory in Data Science (Advances in Science, Technology & Innovation)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Zhihua Zhang, Palle E. T. Jorgensen
- Publisher
- Springer International Publishing AG
- Published
- 2024
- Language
- EN
- ISBN
- 9783031494833
- Category
- nonfiction
- Subjects
- Science, Mathematics, Management
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