Outliers: The Good, the Bad and the Ugly

Summary: Distinguishes good (novel), bad (errors), and ugly (feature‑influential errors) outliers and shows only ugly ones harm ML classifier accuracy. Proposes OMRs—predicate rules combining outlier detectors and statistics—to learn and repair ugly outliers (not delete), boosting accuracy 7.2% on average, up to 34.8%. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID: 7524
Venue: SIGMOD
Year: 2026
Pagerank: 5.093636e-05
Overall Rank: 10,324 | 29.17%
DOI: 10.1145/3749177

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Shenglin Chen (National University of Defense Technology)
2. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
3. Ruochun Jin (National University of Defense Technology)

BibTeX Citation

@inproceedings{chen_sigmod26,
        title = {{Outliers: The Good, the Bad and the Ugly}},
        author = {Chen, Shenglin and Fan, Wenfei and Jin, Ruochun},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3749177},
        url = {https://dl.acm.org/doi/10.1145/3749177},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,288	Shielding PII to Prevent Re-identification and Preserve Utility	2026	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
33	Consistent Query Answers in Inconsistent Databases	1999	PODS	0.00049907763
142	LOF: Identifying Density-Based Local Outliers	2000	SIGMOD	0.0002962566
161	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00027981772
376	Discovering Denial Constraints	2013	VLDB	0.00019677674
582	ActiveClean: Interactive Data Cleaning For Statistical Modeling	2016	VLDB	0.00016148948
618	A Hybrid Approach to Functional Dependency Discovery	2016	SIGMOD	0.00015711835
693	Algorithms for Mining Distance-Based Outliers in Large Datasets	1998	VLDB	0.00014918477
858	Interpretable and Informative Explanations of Outcomes	2015	VLDB	0.0001356511
1,033	On Generating Near-Optimal Tableaux for Conditional Functional Dependencies	2008	VLDB	0.00012529852
1,955	Discovery of Approximate (and Exact) Denial Constraints	2020	VLDB	9.4166032e-05
4,062	AutoOD: Automatic Outlier Detection	2023	SIGMOD	6.9309994e-05
4,160	The Interaction between Functional Dependencies and Template Dependencies	1980	SIGMOD	6.8622758e-05
5,050	CAPE: Explaining Outliers by Counterbalancing	2019	VLDB	6.3862246e-05
6,642	Missing Data Imputation with Uncertainty-Driven Network	2024	SIGMOD	5.8157857e-05
6,899	Human-in-the-loop Outlier Detection	2020	SIGMOD	5.7431609e-05
7,749	CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning	2021	SIGMOD	5.5525665e-05
7,868	CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties	2021	VLDB	5.5277527e-05
8,397	A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science	2021	VLDB	5.4344976e-05
8,802	Outlier Summarization via Human Interpretable Rules	2024	VLDB	5.3685765e-05
9,348	ActiveDeeper: A Model-based Active Data Enrichment System	2020	VLDB	5.2843006e-05
9,647	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	5.2430158e-05
10,111	Parallel Rule Discovery from Large Datasets by Sampling	2022	SIGMOD	5.1347137e-05
11,410	Enriching Recommendation Models with Logic Conditions	2023	SIGMOD	5.093636e-05

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1	578	Efficient Algorithms for Mining Outliers from Large Data Sets	2000	SIGMOD
2	8,802	Outlier Summarization via Human Interpretable Rules	2024	VLDB
3	3,958	Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms	2013	SIGMOD
4	4,062	AutoOD: Automatic Outlier Detection	2023	SIGMOD
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7	10,176	Clustering with Set Outliers and Applications in Relational Clustering	2026	PODS
8	693	Algorithms for Mining Distance-Based Outliers in Large Datasets	1998	VLDB
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