Learning Classification Models From Datasets with Block Missing
碩士 === 國立清華大學 === 服務科學研究所 === 100 === The effectiveness of a classifier is significantly based on the quality of the training instances due to the essence of the machine learning algorithms and data mining techniques. In the past, there may be some values randomly missing in a training dataset due t...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2012
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Online Access: | http://ndltd.ncl.edu.tw/handle/22417161768041454901 |