2 citations · 2 across the 4 of their papers we have counts for
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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…
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…
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.…
Latency Bounding by Trading off Consistency in NoSQL Store: A Staging and Stepwise Approach
Yuqing Zhu, Philip S. Yu, Jianmin Wang
Latency is a key service factor for user satisfaction. Consistency is in a trade-off relation with operation latency in the distributed and replicated scenario. Existing NoSQL stor…