Cleanits: A Data Cleaning System for Industrial Time Series

Summary: Cleanits: integrated cleaning pipeline for industrial time series, detecting and repairing three error types with domain-based algorithms. Evaluated on two power-plant datasets, it yields precise repairs and visual logs via a user-friendly interface. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12054
Venue: VLDB
Year: 2019
Pagerank: 6.3332964e-05
Overall Rank: 5,175 | 64.50%
DOI: 10.14778/3352063.3352066

Incoming Non-self Citations Over Time

Authors

1. Xiaoou Ding (Harbin Engineering University)
2. Hongzhi Wang (Harbin Engineering University)
3. Jiaxuan Su (Harbin Engineering University)
4. Zijue Li (Harbin Engineering University)
5. Jianzhong Li (Harbin Engineering University)
6. Hong Gao (Harbin Engineering University)

BibTeX Citation

@article{ding_vldb19,
        title = {{Cleanits: A Data Cleaning System for Industrial Time Series}},
        author = {Ding, Xiaoou and Wang, Hongzhi and Su, Jiaxuan and Li, Zijue and Li, Jianzhong and Gao, Hong},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {1786--1789},
        doi = {10.14778/3352063.3352066},
        url = {https://doi.org/10.14778/3352063.3352066},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,066	TsQuality: Measuring Time Series Data Quality in Apache IoTDB	2023	VLDB	5.3251649e-05
9,697	Clean4TSDB: A Data Cleaning Tool for Time Series Databases	2024	VLDB	5.2351259e-05
9,699	MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data	2024	VLDB	5.2351259e-05
9,947	Optimizing Time Series Queries with Versions	2024	SIGMOD	5.1915905e-05
9,993	In-Database Data Imputation	2024	SIGMOD	5.1815618e-05
10,500	SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning	2026	SIGMOD	5.093636e-05
10,966	UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow	2025	VLDB	5.093636e-05
11,039	TARImpute: Task-Aware auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies	2025	VLDB	5.093636e-05
11,079	bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 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
1,842	Sequential Dependencies	2009	VLDB	9.6345922e-05
2,995	Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing	2017	VLDB	7.8750141e-05
4,994	Sequential Data Cleaning: A Statistical Approach	2016	SIGMOD	6.4092706e-05

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#	Overall Rank	Paper	Year	Venue
1	10,500	SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning	2026	SIGMOD
2	6,154	Multivariate Time Series Cleaning under Speed Constraints	2024	SIGMOD
3	1,323	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD
4	7,104	Akane: Perplexity-Guided Time Series Data Cleaning	2024	SIGMOD
5	10,966	UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow	2025	VLDB
6	11,877	IHCS: An Integrated Hybrid Cleaning System	2019	VLDB
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8	10,353	Cleaning Time Series under Seasonal and Trend Constraints	2026	SIGMOD
9	9,699	MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data	2024	VLDB
10	9,697	Clean4TSDB: A Data Cleaning Tool for Time Series Databases	2024	VLDB