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On Repairing Timestamps for Regular Interval Time Series

Summary: Formalizes timestamp repair problem for regular-interval time series; proposes exact pruning-based methods and a bi-directional DP approximation. Demonstrates higher repair accuracy, enables data-quality measures, and is implemented in Apache IoTDB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12873
Venue
VLDB
Year
2022
Pagerank
5.3058708e-05
Overall Rank
9,199 | 36.89%
DOI
10.14778/3538598.3538607

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fang_vldb22,
        title = {{On Repairing Timestamps for Regular Interval Time Series}},
        author = {Fang, Chenguang and Song, Shaoxu and Mei, Yinan},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {9},
        pages = {1848--1860},
        doi = {10.14778/3538598.3538607},
        url = {https://doi.org/10.14778/3538598.3538607},
        year = {2022}
}

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