Multivariate Time Series Cleaning under Speed Constraints
Summary: MTCSC is a constraint-based repair model for multivariate series under speed constraints, fixing cross-dimension errors univariate methods miss. Linear-time repair, MTCSC uses trends and adaptive speed constraints to boost accuracy with low runtime. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Aoqian Zhang (Beijing Institute of Technology)
- 2. Zexue Wu (Beijing Institute of Technology)
- 3. Yifeng Gong (Beijing Institute of Technology)
- 4. Ye Yuan (Beijing Institute of Technology)
- 5. Guoren Wang (Beijing Institute of Technology)
BibTeX Citation
@inproceedings{zhang_sigmod24,
title = {{Multivariate Time Series Cleaning under Speed Constraints}},
author = {Zhang, Aoqian and Wu, Zexue and Gong, Yifeng and Yuan, Ye and Wang, Guoren},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3698821},
url = {https://dl.acm.org/doi/10.1145/3698821},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,570 | From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies | 2026 | SIGMOD | 4.9793485e-05 |
| 10,687 | SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning | 2026 | SIGMOD | 4.9793485e-05 |
| 11,067 | Scalable Grid-based Computation of Kendall's tau Correlation | 2026 | VLDB | 4.9793485e-05 |
| 11,201 | The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series | 2025 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 104 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00033690989 |
| 188 | A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification | 2005 | SIGMOD | 0.00025872962 |
| 938 | Truth Finding on the Deep Web: Is the Problem Solved? | 2013 | VLDB | 0.00012973266 |
| 1,360 | Adaptive Cleaning for RFID Data Streams | 2006 | VLDB | 0.00010918075 |
| 1,740 | TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data | 2022 | VLDB | 9.7439205e-05 |
| 1,887 | Sequential Dependencies | 2009 | VLDB | 9.4321643e-05 |
| 1,914 | Statistical Distortion: Consequences of Data Cleaning | 2012 | VLDB | 9.3878613e-05 |
| 5,107 | Sequential Data Cleaning: A Statistical Approach | 2016 | SIGMOD | 6.2701436e-05 |
| 6,306 | SCREEN: Stream Data Cleaning under Speed Constraints | 2015 | SIGMOD | 5.8179005e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,570 | From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies | 2026 | SIGMOD |
| 2 | 10,529 | Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints | 2026 | SIGMOD |
| 3 | 12,374 | Cleaning Timestamps with Temporal Constraints | 2016 | VLDB |
| 4 | 5,107 | Sequential Data Cleaning: A Statistical Approach | 2016 | SIGMOD |
| 5 | 9,872 | Clean4TSDB: A Data Cleaning Tool for Time Series Databases | 2024 | VLDB |
| 6 | 10,554 | Cleaning Time Series under Seasonal and Trend Constraints | 2026 | SIGMOD |
| 7 | 10,687 | SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning | 2026 | SIGMOD |
| 8 | 2,971 | Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing | 2017 | VLDB |
| 9 | 11,201 | The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series | 2025 | SIGMOD |
| 10 | 9,874 | MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data | 2024 | VLDB |