The Application of Rough Set Technique for Missing Data

Abstract:

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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.

Info:

Periodical:

Key Engineering Materials (Volumes 439-440)

Edited by:

Yanwen Wu

Pages:

1052-1056

DOI:

10.4028/www.scientific.net/KEM.439-440.1052

Citation:

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

Online since:

June 2010

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Price:

$35.00

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