Cost-sensitive imputing missing values with ordering
- Publication Type:
- Conference Proceeding
- Citation:
- Proceedings of the National Conference on Artificial Intelligence, 2007, 2 pp. 1922 - 1923
- Issue Date:
- 2007-11-28
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2007000693OK.pdf | 60.92 kB |
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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 (www.aaai.org). All rights reserved.
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