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)

Paper ID: 7054
Venue: SIGMOD
Year: 2024
Pagerank: 5.9567243e-05
Overall Rank: 6,154 | 57.78%
DOI: 10.1145/3698821

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
10,372	From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies	2026	SIGMOD	5.093636e-05
10,500	SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning	2026	SIGMOD	5.093636e-05
10,621	Scalable Grid-based Computation of Kendall's tau Correlation	2026	VLDB	5.093636e-05
10,784	The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series	2025	SIGMOD	5.093636e-05

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
112	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00032801121
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
1,331	Adaptive Cleaning for RFID Data Streams	2006	VLDB	0.00011130651
1,793	TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data	2022	VLDB	9.7435472e-05
1,842	Sequential Dependencies	2009	VLDB	9.6345922e-05
1,914	Statistical Distortion: Consequences of Data Cleaning	2012	VLDB	9.4886927e-05
4,994	Sequential Data Cleaning: A Statistical Approach	2016	SIGMOD	6.4092706e-05
6,186	SCREEN: Stream Data Cleaning under Speed Constraints	2015	SIGMOD	5.9487817e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	10,372	From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies	2026	SIGMOD
2	10,322	Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints	2026	SIGMOD
3	12,081	Cleaning Timestamps with Temporal Constraints	2016	VLDB
4	4,994	Sequential Data Cleaning: A Statistical Approach	2016	SIGMOD
5	9,697	Clean4TSDB: A Data Cleaning Tool for Time Series Databases	2024	VLDB
6	10,353	Cleaning Time Series under Seasonal and Trend Constraints	2026	SIGMOD
7	10,500	SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning	2026	SIGMOD
8	2,995	Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing	2017	VLDB
9	10,784	The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series	2025	SIGMOD
10	9,699	MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data	2024	VLDB