A pre-processing method to deal with missing values by integrating clustering and regression techniques

Applied Artificial Intelligence

Volumn 17, Issue 5-6, 2003, Pages 535-544

  Tseng, Shin Mu ^a   Wang, Kuo Ho ^a   Lee, Chien I ^b  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b Department of Mathematics Education   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; DATA MINING; DATA REDUCTION; DATA STRUCTURES; DATABASE SYSTEMS; REGRESSION ANALYSIS;

CLUSTERING; MISSING DATA; PRE-PROCESSING METHOD;

DATA HANDLING;

EID: 0242544037     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/713827170     Document Type: Article

References (12)

1. Ben-Dor, A., and Z. Yakhini. 1999. Clustering gene expression patterns. In Proceedings of the 3rd Annual International Conference on Computational Molecular Biology, Lyon, France, ACM Press.
2. Chen, L.-C. 2002. A Correlation-Based Approach for Validating Gene Expression Clustering. Master Thesis, Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan, ROC.
3. Han, J., and M. Kamber. 2000. Data Mining: Concepts and Techniques. San Mateo, CA: Morgan Kaufmann.
4. Kalton, G., and D. Kasprzyk. 1982. Imputing for missing survey response. In Proc. Sect. Survey Res. Meth. Amer. Statist. Assoc., pages 22-23.
5. Lee R. C. T., J. R. Slagle, and C. T. Mong. 1976. Application of clustering to estimate missing data and improve data integrity. In Proc. Int'l Conf. Software Engineering, pages 539-544, San Francisco, CA, IEEE Press.
6. Little, R. J. A., and D. B. Rubin. 1987. Statistical Analysis with Missing Data. New York, NY: John Wiley and Sons Publishers.
7. Liu, W. Z., A. P. White, S. G. Thompson, and M. A. Bramer. 1997. Techniques for dealing with missing values in classification. In 2nd Int. Symp. Intelligent Data Analysis, pages 527-536.
8. McQueen, J. B. 1967. Some methods of classification and analysis of multivariate observations. In Proc. 5th Berkeley Symposium on Mathematical Statistics and Probability, pages 281-297, Berkeley, CA.
9. Pyle, D. 1999. Data Preparation for Data Mining. San Mateo, CA: Morgan Kaufmann.
10. Ragel, A., and B. Cremilleux. 1998. Treatment of missing values for association rules. In Proc. 2nd Pacific-Asia Conf. On Knowledge Discovery and Data Mining, pages 258-270.
11. Ragel, A., and B. Cremilleux. 1999. MVC: A preprocessing method to deal with missing values. Knowledge-Base System 12(5):205-332.
12. Tseng, S.-M., and C.-P. Kao. 2002. Efficient clustering methods for gene expression mining: A performance evaluation. In Proc. Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 432-437.