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Rock: Cleaning Data with both ML and Logic Rules

Summary: Rock embeds ML models as predicates into logic rules, enabling joint rule-based deduction and learned inference for ER, conflict resolution, timeliness deduction and missing-value imputation across relational tables. Scalable parallel batch/incremental algorithms for rule discovery, error detection and correction with a user-friendly interface and production deployments (banks, HR). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13848
Venue
VLDB
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,317 | 22.36%
DOI
10.14778/3685800.3685878

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BibTeX Citation

@article{bao_vldb24,
        title = {{Rock: Cleaning Data with both ML and Logic Rules}},
        author = {Bao, Zian and Bie, Binbin and Fan, Wenfei and Li, Daji and Li, Mengyun and Lin, Kaiwen and Lin, Wei and Liu, Peijie and Liu, Peng and Lv, Zhicong and Ouyang, Mingliang and Sun, Chenyang and Tang, Shuai and Wang, Yaoshu and Wei, Qiyuan and Wu, Xiangqian and Xie, Min and Zhang, Jing and Zhao, Runxiao and Zhu, Jie and Zhu, Yilin},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {4373--4376},
        doi = {10.14778/3685800.3685878},
        url = {https://doi.org/10.14778/3685800.3685878},
        year = {2024}
}

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