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Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions

Summary: Introduces Certain Predictions (CP): a test point is certain when classifiers trained over all possible worlds of incomplete data agree on its label. For nearest-neighbor models, CP checking/counting is tractable despite exponentially many worlds, powering CPClean. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hec08366b9dc1f4fe
Venue
VLDB
Year
2021
Pagerank
9.7253583e-05
Overall Rank
1,744 | 88.32%
DOI
10.14778/3430915.3430917
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{karlas_vldb21,
        title = {{Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions}},
        author = {Karlaš, Bojan and Li, Peng and Wu, Renzhi and Gürel, Nezihe Merve and Chu, Xu and Wu, Wentao and Zhang, Ce},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {3},
        pages = {255--267},
        doi = {10.14778/3430915.3430917},
        url = {https://doi.org/10.14778/3430915.3430917},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank Citing Paper Year Venue Pagerank
3,757 GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data 2023 SIGMOD 7.0254733e-05
3,970 DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data 2023 SIGMOD 6.8768492e-05
5,230 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 6.2059854e-05
6,438 CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning 2024 SIGMOD 5.7678369e-05
7,860 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.422643e-05
8,096 Two Birds with One Stone: Efficient Deep Learning over Mislabeled Data through Subset Selection 2025 SIGMOD 5.3739121e-05
9,634 GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models 2024 SIGMOD 5.1354312e-05
9,842 CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines 2025 VLDB 5.1064323e-05
10,218 In-Database Data Imputation 2024 SIGMOD 5.0461625e-05
10,390 Detecting Contradictions Within and Across Documents 2027 SIGMOD 4.9605343e-05
10,592 Understanding the Impact of Data Noise in Federated Learning: [Experiments & Analysis] 2026 SIGMOD 4.9605343e-05
10,925 PipeLens: Identifying Interventions for Resolving Malfunctioning Data Science Pipelines 2026 VLDB 4.9605343e-05
11,045 Minimal Data Cleaning for Model Training by MinPrep 2026 VLDB 4.9605343e-05
11,240 Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data 2025 SIGMOD 4.9605343e-05
11,276 Scalable Complex Event Processing on Video Streams 2025 SIGMOD 4.9605343e-05
11,357 Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation 2025 VLDB 4.9605343e-05
11,570 Certain and Approximately Certain Models for Statistical Learning 2024 SIGMOD 4.9605343e-05
11,641 Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data 2024 VLDB 4.9605343e-05
11,643 Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines 2024 VLDB 4.9605343e-05
11,713 Generalizable Data Cleaning of Tabular Data in Latent Space 2024 VLDB 4.9605343e-05
11,751 LinCQA: Faster Consistent Query Answering with Linear Time Guarantees 2023 SIGMOD 4.9605343e-05
11,986 Ease.ML: A Lifecycle Management System for MLDev and MLOps 2021 CIDR 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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