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Enriching Data Imputation with Extensive Similarity Neighbors

Summary: Extends equality-based neighbor imputation with similarity rules tolerant of value variation, increasing usable neighbors under sparsity. Formulates maximum imputation, proving NP-hardness and providing exact algorithms plus efficient, guaranteed approximations that improve accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11195
Venue
VLDB
Year
2015
Pagerank
6.3370748e-05
Overall Rank
5,167 | 64.56%
DOI
10.14778/2809974.2809989

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{song_vldb15,
        title = {{Enriching Data Imputation with Extensive Similarity Neighbors}},
        author = {Song, Shaoxu and Zhang, Aoqian and Chen, Lei and Wang, Jianmin},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {11},
        pages = {1286--1297},
        doi = {10.14778/2809974.2809989},
        url = {https://doi.org/10.14778/2809974.2809989},
        year = {2015}
}

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