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Full Description
In recent years, the issue of missing data imputation has been extensively explored in information engineering. ""Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques"" presents methods and technologies in estimation of missing values given the observed data. Providing a defining body of research valuable to those involved in the field of study, this book covers techniques such as radial basis functions, support vector machines, and principal component analysis.
Contents
Artificial neural networks; Hybrid approach to missing data; Introduction of missing data; Maximum likelihood approach; Missing data estimation approaches; Missing data imputation; Missing data patterns; Missing data mechanism; Missing data estimation methodology; Optimization techniques.