most citedA Survey of Approximate Quantile Computation on Large-scale Data (Technical Report)

18 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DB2025

Sync Without Guesswork: Incomplete Time Series Alignment

Ding Jia, Jingyu Zhu, Yu Sun +4

Multivariate time series alignment is critical for ensuring coherent analysis across variables, but missing values and timestamp inconsistencies make this task highly challenging.…

cs.DB20205 cited

A Survey on Sampling and Profiling over Big Data (Technical Report)

Zhicheng Liu, Aoqian Zhang

Due to the development of internet technology and computer science, data is exploding at an exponential rate. Big data brings us new opportunities and challenges. On the one hand,…

cs.DS202018 cited

A Survey of Approximate Quantile Computation on Large-scale Data (Technical Report)

Zhiwei Chen, Aoqian Zhang

As data volume grows extensively, data profiling helps to extract metadata of large-scale data. However, one kind of metadata, order statistics, is difficult to be computed because…

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.…