Cost-Sensitive Imputing Missing Values with Ordering
Abstract
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.
Cite
Text
Zhu et al. "Cost-Sensitive Imputing Missing Values with Ordering." AAAI Conference on Artificial Intelligence, 2007.Markdown
[Zhu et al. "Cost-Sensitive Imputing Missing Values with Ordering." AAAI Conference on Artificial Intelligence, 2007.](https://mlanthology.org/aaai/2007/zhu2007aaai-cost/)BibTeX
@inproceedings{zhu2007aaai-cost,
title = {{Cost-Sensitive Imputing Missing Values with Ordering}},
author = {Zhu, Xiaofeng and Zhang, Shichao and Zhang, Jilian and Zhang, Chengqi},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2007},
pages = {1922-1923},
url = {https://mlanthology.org/aaai/2007/zhu2007aaai-cost/}
}