The Application of Rough Set Technique for Missing Data
In this paper, a missing data classification algorithms based on rough technique is proposed, and the complexity of the algorithms is analyzed, finally a missing data classification experiment with a typical dataset is conducted. The result of experimentation shows the algorithms not only can effectively improve the accuracy and efficiency of classification while enormously reducing the number of attributes, but also have the good performance on noises control.
B. Li and E. L. Zhang, "The Application of Rough Set Technique for Missing Data ", Key Engineering Materials, Vols. 439-440, pp. 1052-1056, 2010