Using association rules for completing missing data
作者： Chih-Hung Wu , Chian-Huei Wun , Hung-Ju Chou
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摘要: We present in this paper a new method for completing missing data using the concept of association rules. The basic idea is that rules describe dependency relationships among entries dataset where all data, including ones, should hold similar relationships. For datum, we guess its possible value according to related A procedure and evaluation function are developed presented. scored support, confidence, lift rules, which reasonably reflects existing data. Experimental results show our feasible some incomplete datasets.
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