Preference-based performance measures for Time-Domain Global Similarity method

30 Jun 2017Ting LanJian LiuHong Qin

For Time-Domain Global Similarity (TDGS) method, which transforms the data cleaning problem into a binary classification problem about the physical similarity between channels, directly adopting common performance measures could only guarantee the performance for physical similarity. Nevertheless, practical data cleaning tasks have preferences for the correctness of original data sequences... (read more)

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