Combining Knn Imputation And Bootstrap Calibrated Empirical Likelihood For Incomplete Data Analysis

Publisher:
IGI Publications
Publication Type:
Journal Article
Citation:
International Journal of Data Warehousing and Mining, 2010, 6 (4), pp. 61 - 73
Issue Date:
2010-01
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The k-nearest neighbor (kNN) imputation, as one of the most important research topics in incomplete data discovery, has been developed with great successes on industrial data. However, it is difficult to obtain a mathematical valid and simple procedure t
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