Privacy-Preserved Big Data Analysis Based on Asymmetric Imputation Kernels and Multiside Similarities

25 Mar 2016Bo-Wei Chen

This study presents an efficient approach for incomplete data classification, where the entries of samples are missing or masked due to privacy preservation. To deal with these incomplete data, a new kernel function with asymmetric intrinsic mappings is proposed in this study... (read more)

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