Rough Set Based Missing Data Rotative Reconstruction Algorithms
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Graphical Abstract
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Abstract
In this paper, a missing data rotative reconstruction algorithms based on rough theory is proposed, and the complexity of the algorithms is analyzed, finally a missing Data reconstruction experiment with a typical dataset is conducted. The result of experimentation show the algorithms no only reconstruct the missing data well, but also have the good performance on noises control.
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