2 citations · 3 across the 5 of their papers we have counts for
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cs.DB2020
Event Data Quality: A Survey
Ruihong Huang, Jianmin Wang
Event data are prevalent in diverse domains such as financial trading, business workflows and industrial IoT nowadays. An event is often characterized by several attributes denotin…
cs.DB2020
Learning Individual Models for Imputation (Technical Report)
Aoqian Zhang, Shaoxu Song, Yu Sun +1
Missing numerical values are prevalent, e.g., owing to unreliable sensor reading, collection and transmission among heterogeneous sources. Unlike categorized data imputation over a…
cs.DB2020
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing (Technical Report)
Aoqian Zhang, Shaoxu Song, Jianmin Wang +1
Errors are prevalent in time series data, such as GPS trajectories or sensor readings. Existing methods focus more on anomaly detection but not on repairing the detected anomalies.…