Predictive Model Fusion: A Modular Approach to Big, Unstructured Data
Data sets of increasing size and complexity require new approaches for prediction as the sheer volume of data from disparate sources inhibits joint processing and modeling. Rather modular segmentation is required, in which a set of models process (potentially overlapping) partitions of the data to i...
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Virginia Tech
2016
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| Online Access: | http://hdl.handle.net/10919/70921 |