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As the large number of feature attributes in Case-based reasoning system (CBR) brings a huge information redundancy which reduces the retrieval efficiency, a novel reduction method based on Water-Filling is proposed to remove those unnecessary attributes. In the method, the importance of each attribute could be calculated by utilizing the ratio of the standard deviation and the mean value of each...
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