Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing

Summary: Proposes iterative minimum repairing (IMR) for time series, repairing anomalies via temporal context and the minimum-change principle. Convergence analysis and incremental O(1) per-iteration parameter estimation reduce cost from O(n) to O(1); real-data experiments show superior repair and improved time-series classification. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11579
Venue: VLDB
Year: 2017
Pagerank: 7.8750141e-05
Overall Rank: 2,995 | 79.46%
DOI: 10.14778/3115404.3115410

Incoming Non-self Citations Over Time

Authors

1. Aoqian Zhang (Tsinghua University)
2. Shaoxu Song (Tsinghua University)
3. Jianmin Wang (Tsinghua University)
4. Philip S. Yu (Tsinghua University; University of Illinois Chicago)

BibTeX Citation

@article{zhang_vldb17,
        title = {{Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing}},
        author = {Zhang, Aoqian and Song, Shaoxu and Wang, Jianmin and Yu, Philip S.},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {10},
        doi = {10.14778/3115404.3115410},
        url = {https://doi.org/10.14778/3115404.3115410},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 18 of 18 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,793	Apache IoTDB: A Time Series Database for IoT Applications	2023	SIGMOD	7.1217835e-05
4,851	Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles	2022	VLDB	6.4803317e-05
5,175	Cleanits: A Data Cleaning System for Industrial Time Series	2019	VLDB	6.3332964e-05
6,417	ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams	2021	VLDB	5.8822847e-05
7,104	Akane: Perplexity-Guided Time Series Data Cleaning	2024	SIGMOD	5.7020425e-05
7,232	Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications	2023	SIGMOD	5.6659017e-05
7,505	Kamel: A Scalable BERT-based System for Trajectory Imputation	2024	VLDB	5.6029996e-05
8,105	Online Topic-Aware Entity Resolution Over Incomplete Data Streams	2021	SIGMOD	5.4860105e-05
8,230	TOD: GPU-accelerated Outlier Detection via Tensor Operations	2023	VLDB	5.4619615e-05
8,388	Why Not Match: On Explanations of Event Pattern Queries	2021	SIGMOD	5.4364073e-05
8,525	QARTA: An ML-based System for Accurate Map Services	2021	VLDB	5.4119882e-05
8,973	Distance-based Outlier Query Optimization in Apache IoTDB	2024	VLDB	5.3414033e-05
9,697	Clean4TSDB: A Data Cleaning Tool for Time Series Databases	2024	VLDB	5.2351259e-05
9,699	MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data	2024	VLDB	5.2351259e-05
10,353	Cleaning Time Series under Seasonal and Trend Constraints	2026	SIGMOD	5.093636e-05
10,923	Improving Time Series Data Compression in Apache IoTDB	2025	VLDB	5.093636e-05
11,179	High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors	2024	SIGMOD	5.093636e-05
11,733	LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization	2021	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
185	A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification	2005	SIGMOD	0.00026231189
955	Truth Finding on the Deep Web: Is the Problem Solved?	2013	VLDB	0.00012996675
998	Towards Certain Fixes with Editing Rules and Master Data	2010	VLDB	0.0001275238
1,331	Adaptive Cleaning for RFID Data Streams	2006	VLDB	0.00011130651
6,186	SCREEN: Stream Data Cleaning under Speed Constraints	2015	SIGMOD	5.9487817e-05

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