Titlebook: Data Management Technologies and Applications; 9th International Co Slimane Hammoudi,Christoph Quix,Jorge Bernardino Conference proceedings

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Designing an Efficient Gradient Descent Based Heuristic for Clusterwise Linear Regression for Largeerformance of the base gradient descent based heuristic is quite good with an average percentage gap of . when the number of categories is less than 60. However, starting with a fixed initial partition and restricting cluster assignment changes to be one-directional speed up heuristic dramatically w

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A Policy-Agnostic Programming Language for the International Data Spaces,abel-based mechanisms in order to increase the expressiveness of the policy system. These mechanisms can be used to attach metadata to data as well as other language components of D. and therefore allow easy tracing of data and sharing of information between language components such as policies. We

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Coreset-Based Data Compression for Logistic Regression,arning from it, is 11 times faster than learning directly from the full input data in the worst case, and 34 times faster in the best case. We further observed that the best regression algorithm for creating summaries of data using the RDSF framework is the Ordinary Least Squares (OLS).