Frame Theory in Data Science

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Focusing on innovative frame theory and its application in data science, this book delves into spatial-scale feature extraction, network dynamics, and data-driven environmental predictions. It highlights the importance of these techniques in advancing multi-channel data mining systems, crucial for achieving the United Nations' Sustainable Development Goals. Drawing from two decades of research, it offers advanced methodologies beneficial for scientists, professionals, and graduate students in data science, applied mathematics, environmental science, and geoscience.