Cost-sensitive imputing missing values with ordering

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Conference Proceeding
Proceedings of the National Conference on Artificial Intelligence, 2007, 2 pp. 1922 - 1923
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Various approaches for dealing with missing data have been developed so far. In this paper, two strategies are proposed for cost-sensitive iterative imputing missing values with optimal ordering. Experimental results demonstrate that proposed strategies outperform the existing methods in terms of imputation cost and accuracy. Copyright © 2007, Association for the Advancement of Artificial Intelligence ( All rights reserved.
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