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  • [9] DASU, T., JOHNSON T.. Exploratory Data Mining and Data Cleansing. Wiley & sons. New Jersey: 2003. .
  • [10] R. J. A. LITTLE and D.B. RUBIN. Statistical Analysis with Missing Data. Wiley. New York: 1987. .
  • [12] J. L. SCHAFER. Analysis of Incomplete Multivariate Data. Chapman & Hall. London: 1997. .
  • [13] Y.C. YANG. Multiple imputation for missing data: Concepts and new development. SAS Institute, Inc.., , .
  • [14] HORTON, N.J. and LIPSITZ, S.R.. Multiple Imputation in Practice: Comparison of Software Packages for Regression Models With Missing Variables. Journal of the American Statistical Association, 55, 244–254.
  • [15] MARWALA, T.. Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques. . : 2009. ISBN: 1605663360.
  • [16] TAN, M., TIAN, G.L. and NG, K.W.. Bayesian Missing Data Problems: EM, Data Augmentation and Non-iterative Computation. Chapman & Hall/CRC.Monographs on Statistics and Applied Probability, , .
  • [17] Yuka HIGASHIJIMA, Atsushi YAMMAMOTO, Takayuki NAKAMURA, Motonori NAKAMURA, Masato MATSUO. Missing Data Imputation Using Regression Tree Model for Sparse Data Collected via Wide Area Ubiquitous Network. IEEE/IPSJ International Symposium on Applications and the Internet, 10th, pp. 189-192.
  • [18] CONVERSANO, C.,SICILIANO, R.. Incremental Tree-Based Missing Data Imputation with Lexicographic Ordering. Springer.Journal of Classification, , p. 361 - 379.
  • [19] A. FARHANGFAR, L. KURGAN, W. PEDRYCZ. Experimental analysis of methods for imputation of missing values in databases. in: Intelligent Computing: Theory and Applications II Conference, in conjunction with the SPIE Defense and Security Symposium, , pp. 172-182.
  • [20] WU, X. BARBARÁ, D.. Modeling and Imputation of Large Incomplete Multidimensional Datasets. Springer Berlin / Heidelberg.Data Warehousing and Knowledge Discovery. Lecture Notes in Computer Science, , p. 365-374.
  • [21] CARTWRIGHT, M., SHEPPERD, M. and TWALA, B.. Ensemble of missing data techniques to improve software prediction accuracy. Shanghai, China.28th International Conference on Software Engineering (ICSE 2006), , .
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