Time Series Data Validity
Summary: First study to define time-series validity via a minimum-change repair objective that maximizes preserved data. Quadratic-time, linear-space algorithms adapt to LSM-based storage; exposed as a SQL function in Apache IoTDB, with up to 10^4× faster than SCREEN on 8 datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yunxiang Su (Tsinghua University)
- 2. Yikun Gong (Tsinghua University)
- 3. Shaoxu Song (Tsinghua University)
BibTeX Citation
@inproceedings{su_sigmod23,
title = {{Time Series Data Validity}},
author = {Su, Yunxiang and Gong, Yikun and Song, Shaoxu},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588939},
url = {https://dl.acm.org/doi/10.1145/3588939},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,634 | Apache IoTDB: A Time Series Database for IoT Applications | 2023 | SIGMOD | 7.1266347e-05 |
| 7,272 | Akane: Perplexity-Guided Time Series Data Cleaning | 2024 | SIGMOD | 5.5530425e-05 |
| 9,277 | TsQuality: Measuring Time Series Data Quality in Apache IoTDB | 2023 | VLDB | 5.1860131e-05 |
| 9,914 | MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data | 2024 | VLDB | 5.0983269e-05 |
| 10,644 | From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies | 2026 | SIGMOD | 4.9605343e-05 |
| 11,500 | T-Assess: An Efficient Data Quality Assessment System Tailored for Trajectory Data | 2025 | VLDB | 4.9605343e-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 |
|---|---|---|---|---|
| 190 | A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification | 2005 | SIGMOD | 0.00025812169 |
| 1,306 | Detecting Data Errors: Where are we and what needs to be done? | 2016 | VLDB | 0.00011076619 |
| 1,314 | Computing Optimal Repairs for Functional Dependencies | 2018 | PODS | 0.000110547 |
| 1,354 | Sampling the Repairs of Functional Dependency Violations under Hard Constraints | 2010 | VLDB | 0.00010912271 |
| 2,752 | Uni-Detect: A Unified Approach to Automated Error Detection in Tables | 2019 | SIGMOD | 8.0387193e-05 |
| 2,920 | Real-Time Distance-Based Outlier Detection in Data Streams | 2021 | VLDB | 7.8477923e-05 |
| 5,131 | Sequential Data Cleaning: A Statistical Approach | 2016 | SIGMOD | 6.2464522e-05 |
| 5,879 | Properties of Inconsistency Measures for Databases | 2021 | SIGMOD | 5.9438507e-05 |
| 6,322 | SCREEN: Stream Data Cleaning under Speed Constraints | 2015 | SIGMOD | 5.7959179e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,377 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB |
| 2 | 4,880 | Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB | 2022 | VLDB |
| 3 | 7,554 | Time Series Representation for Visualization in Apache IoTDB | 2024 | SIGMOD |
| 4 | 11,178 | In-Database Time Series Clustering | 2025 | SIGMOD |
| 5 | 10,629 | Cleaning Time Series under Seasonal and Trend Constraints | 2026 | SIGMOD |
| 6 | 9,169 | Distance-based Outlier Query Optimization in Apache IoTDB | 2024 | VLDB |
| 7 | 9,912 | Clean4TSDB: A Data Cleaning Tool for Time Series Databases | 2024 | VLDB |
| 8 | 10,172 | Optimizing Time Series Queries with Versions | 2024 | SIGMOD |
| 9 | 9,277 | TsQuality: Measuring Time Series Data Quality in Apache IoTDB | 2023 | VLDB |
| 10 | 9,414 | On Repairing Timestamps for Regular Interval Time Series | 2022 | VLDB |