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An Approach for Scientific Dataset Stream Reduction Based on Information Measures
WU Guoqing, MO Zeyao, CHEN Hong
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS
2009, 26 (6):
831-836.
We propose a data reduction approach based on information theory. It comprises sampling of datssets based on mutual entropy and truncation based on offline Marginal Utility. The approach is a universal method for multi-dimensional scientific dataset streams. To show applicability, results obtained with plasma simulation data are presented, It reduces relationship and redundancy between datesets.
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