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What is Data Mining and Assimilation Explained about?
Data mining involves discovering patterns and relationships in data to understand the underlying data generation process. Early examples include astronomers like Copernicus, Galileo, Kepler, and Newton discovering laws of nature by analyzing astronomical observations. Data assimilation fuses models of physical processes with data by estimating unknown parameters in models using techniques like least squares. Gauss laid the foundation for data assimilation by using a dynamic model and observations to estimat
- Author
- ZeaEsther
- Language
- EN