An Empirical Study of Missing-value Imputation Methods on The Accuracy of DNN-based Classification
碩士 === 國立中興大學 === 資訊科學與工程學系所 === 107 === Missing data is a common problem in statistical analysis. In the field of missing data research, if the proportion of missing data increases, its effect on data analysis can be very serious. A large amount of missing data may make the analysis result deviate...
Main Authors: | , |
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Format: | Others |
Language: | zh-TW |
Published: |
2019
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Online Access: | http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5394045%22.&searchmode=basic |