3 papers
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.…
cs.DB2009
Discovering Matching Dependencies
Shaoxu Song, Lei Chen
The concept of matching dependencies (mds) is recently pro- posed for specifying matching rules for object identification. Similar to the functional dependencies (with conditions),…