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TARImpute: Task-Aware auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies

Summary: TARImpute is a task-aware recommender that jointly evaluates missing-value imputation and clustering, rather than optimizing imputation in isolation. Its impact profiler, error-propagation interpreter, and adaptive optimizer provide explainable method selection and downstream-quality assessment. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14340
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
11,039 | 24.27%
DOI
10.14778/3750601.3750667

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BibTeX Citation

@article{ding_vldb25,
        title = {{TARImpute: Task-Aware auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies}},
        author = {Ding, Xiaoou and Liu, Yanshuo and Chen, Zhounan and Wang, Hongzhi and Wang, Chen and Wang, Jianmin},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {12},
        pages = {5343--5346},
        doi = {10.14778/3750601.3750667},
        url = {https://doi.org/10.14778/3750601.3750667},
        year = {2025}
}

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