Computational intelligence for missing data imputation, by Tshilidzi Marwala

Computational intelligence for missing data imputation, by Tshilidzi Marwala

By Tshilidzi Marwala

Lately, the problem of lacking info imputation has been commonly explored in info engineering.

Computational Intelligence for lacking info Imputation, Estimation, and administration: wisdom Optimization ideas offers equipment and applied sciences in estimation of lacking values given the saw information. supplying a defining physique of analysis priceless to these inquisitive about the sphere of analysis, this e-book covers recommendations akin to radial foundation services, aid vector machines, and relevant part research.

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1987). Multiple imputation for nonresponse in surveys. New York: Wiley. , & Thomaseth, K. (2005). Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose. Computational Statistics & Data Analysis, 49 (3), 937-953. Schafer, J. L. (1997). Analysis of incomplete multivariate data. New York: Chapman & Hall. Schafer, J. , & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7(2), 147–177. Schafer, J. , & Olsen, M. K.

In essence, the input vector {x} and output vector {y} will not always be perfectly the same. 19) In the case of missing data, some of the values of the input vector {x} are not available. Hence, the input vector elements can be categorized into {x} known vectors represented by {xk} and {x} unknown vectors represented by {xu}. 21) Here is the Euclidean norm. 21 is called the Missing Data Estimation Error Function (MDEEF). 21 is minimized and in this chapter, the genetic algorithm is used (Holland, 1975; Koza, 1992; Falkenauer, 1997; Goldberg, 2002; Fogel, 2006).

2007b). Rough set theory for the treatment of incomplete data. In Proceedings of the IEEE Conference on Fuzzy Systems, London, UK 338-343. Nelwamondo, F. , & Marwala, T. (2007c). Fuzzy ARTMAP and neural network approach to online processing of inputs with missing values. SAIEE Africa Research Journal, 98(2), 45-51. Nelwamondo, F. , & Marwala, T. (2008). Techniques for handling missing data: applications to online condition monitoring. International Journal of Innovative Computing, Information and Control, 4(6), 1507-1526.

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