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
- 2. Yichen Song
- 3. Hongzhi Wang
- 4. Donghua Yang
- 5. Chen Wang
- 6. Jianmin Wang
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,560 | MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data | 2024 | VLDB | 4.3212967e-05 |
| 10,211 | SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning | 2026 | SIGMOD | 4.1905499e-05 |
| 10,682 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.1905499e-05 |
| 10,730 | UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow | 2025 | VLDB | 4.1905499e-05 |
| 10,816 | DemandClean: A Multi-Objective Learning Framework for Balancing Model Tolerance to Data Authenticity and Diversity | 2025 | VLDB | 4.1905499e-05 |
| 10,817 | TARImpute: Task-Aware auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies | 2025 | VLDB | 4.1905499e-05 |
| 10,859 | bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data | 2025 | VLDB | 4.1905499e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 1,253 | Anomaly Detection in Time Series: A Comprehensive Evaluation | 2022 | VLDB | 0.00013019488 |
| 3,142 | Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing | 2017 | VLDB | 7.4905759e-05 |
| 3,397 | Automatic Data Repair: Are We Ready to Deploy? | 2024 | VLDB | 7.1386386e-05 |
| 3,828 | Cleanits: A Data Cleaning System for Industrial Time Series | 2019 | VLDB | 6.7191138e-05 |
| 3,971 | Apache IoTDB: A Time Series Database for IoT Applications | 2023 | SIGMOD | 6.5733348e-05 |
| 6,582 | SCREEN: Stream Data Cleaning under Speed Constraints | 2015 | SIGMOD | 4.9979977e-05 |
Previous
Page 1 / 1
Next