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In KDD procedure, to fill in missing data typically requires a very large investment of time and energy-often 80% to 90% of a data analysis project is spent in making the data reliable enough so that the results can be trustful. In this paper, we propose a SVM regression based algorithm for filling in missing data, i.e. set the decision attribute (output(More)
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