Cost-Sensitive Imputing Missing Values with Ordering

AAAI Press
Publication Type:
Conference Proceeding
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007, 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.
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