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Adaptive sampling via adaptive optimal experimental designs to extract maximum information from large data repositories
Adaptive sampling via adaptive optimal experimental designs to extract maximum information from large data repositories
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机译:通过自适应最佳实验设计进行自适应采样,以从大型数据存储库中提取最大信息
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摘要
A system, method, and computer-readable medium for extracting the samples from big data to extract most information about the relationships of interest between dimensions and variables in the data repository. More specifically, extracting information from large data repositories follows an adaptive process that uses systematic sampling procedures derived from optimal experimental designs to target from a large data set specific observations with information value of interest for the analytic task under consideration. The application of adaptive optimal design to guide exploration of large data repositories provides advantages over known big data technologies.
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