Clean4TSDB: A Data Cleaning Tool for Time Series Databases
Summary: Clean4TSDB: end-to-end cleaning for time-series DBs, integrating expressive constraint discovery, violation detection, and multivariate repair (preconfigured for systems like Apache IoTDB). Novelty: TSDD—a mined contextual multivariate constraint—with an efficient miner and hybrid row/column repair plus a modular library of repair algorithms. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaoou Ding (Harbin Engineering University)
- 2. Yichen Song (Harbin Engineering University)
- 3. Hongzhi Wang (Harbin Engineering University)
- 4. Donghua Yang (Harbin Engineering University)
- 5. Chen Wang (Tsinghua University)
- 6. Jianmin Wang (Tsinghua University)
BibTeX Citation
@article{ding_vldb24,
title = {{Clean4TSDB: A Data Cleaning Tool for Time Series Databases}},
author = {Ding, Xiaoou and Song, Yichen and Wang, Hongzhi and Yang, Donghua and Wang, Chen and Wang, Jianmin},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4377--4380},
doi = {10.14778/3685800.3685879},
url = {https://doi.org/10.14778/3685800.3685879},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,881 | MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data | 2024 | VLDB | 5.115241e-05 |
| 10,698 | SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning | 2026 | SIGMOD | 4.9769913e-05 |
| 11,323 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.9769913e-05 |
| 11,360 | UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow | 2025 | VLDB | 4.9769913e-05 |
| 11,408 | DemandClean: A Multi-Objective Learning Framework for Balancing Model Tolerance to Data Authenticity and Diversity | 2025 | VLDB | 4.9769913e-05 |
| 11,409 | TARImpute: Task-Aware auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies | 2025 | VLDB | 4.9769913e-05 |
| 11,441 | bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data | 2025 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,005 | Anomaly Detection in Time Series: A Comprehensive Evaluation | 2022 | VLDB | 0.00012584107 |
| 2,972 | Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing | 2017 | VLDB | 7.793491e-05 |
| 3,264 | Automatic Data Repair: Are We Ready to Deploy? | 2024 | VLDB | 7.4774357e-05 |
| 3,623 | Apache IoTDB: A Time Series Database for IoT Applications | 2023 | SIGMOD | 7.150278e-05 |
| 5,298 | Cleanits: A Data Cleaning System for Industrial Time Series | 2019 | VLDB | 6.1882634e-05 |
| 6,310 | SCREEN: Stream Data Cleaning under Speed Constraints | 2015 | SIGMOD | 5.8151463e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,380 | Cleaning Timestamps with Temporal Constraints | 2016 | VLDB |
| 2 | 3,623 | Apache IoTDB: A Time Series Database for IoT Applications | 2023 | SIGMOD |
| 3 | 9,388 | On Repairing Timestamps for Regular Interval Time Series | 2022 | VLDB |
| 4 | 7,467 | Time Series Data Validity | 2023 | SIGMOD |
| 5 | 10,698 | SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning | 2026 | SIGMOD |
| 6 | 6,288 | Multivariate Time Series Cleaning under Speed Constraints | 2024 | SIGMOD |
| 7 | 10,565 | Cleaning Time Series under Seasonal and Trend Constraints | 2026 | SIGMOD |
| 8 | 5,298 | Cleanits: A Data Cleaning System for Industrial Time Series | 2019 | VLDB |
| 9 | 9,881 | MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data | 2024 | VLDB |
| 10 | 9,253 | TsQuality: Measuring Time Series Data Quality in Apache IoTDB | 2023 | VLDB |