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: 7334
Venue: SIGMOD
Year: 2026
Pagerank: 4.1945683e-05
Overall Rank: 10,029 | 30.24%
DOI: 10.1145/3749177

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Rank	Citing Paper	Year	Venue	Pagerank

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
49	Consistent Query Answers in Inconsistent Databases	1999	PODS	0.00067660624
161	LOF: Identifying Density-Based Local Outliers	2000	SIGMOD	0.00039846974
181	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00036992674
555	Discovering Denial Constraints	2013	VLDB	0.00020254908
774	Algorithms for Mining Distance-Based Outliers in Large Datasets	1998	VLDB	0.00016865771
791	ActiveClean: Interactive Data Cleaning For Statistical Modeling	2016	VLDB	0.00016629664
894	A Hybrid Approach to Functional Dependency Discovery	2016	SIGMOD	0.00015556428
1,099	Interpretable and Informative Explanations of Outcomes	2015	VLDB	0.00014096312
1,188	On Generating Near-Optimal Tableaux for Conditional Functional Dependencies	2008	VLDB	0.00013441729
2,483	Discovery of Approximate (and Exact) Denial Constraints	2020	VLDB	8.6864916e-05
4,448	The Interaction between Functional Dependencies and Template Dependencies	1980	SIGMOD	6.1785017e-05
4,456	AutoOD: Automatic Outlier Detection	2023	SIGMOD	6.1704203e-05
5,128	CAPE: Explaining Outliers by Counterbalancing	2019	VLDB	5.6758584e-05
6,600	Missing Data Imputation with Uncertainty-Driven Network	2024	SIGMOD	4.9972581e-05
7,575	Human-in-the-loop Outlier Detection	2020	SIGMOD	4.7068909e-05
7,796	CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties	2021	VLDB	4.6482625e-05
7,926	CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning	2021	SIGMOD	4.6144554e-05
8,503	A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science	2021	VLDB	4.496339e-05
9,273	ActiveDeeper: A Model-based Active Data Enrichment System	2020	VLDB	4.3649603e-05
9,434	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	4.3430376e-05
9,709	Outlier Summarization via Human Interpretable Rules	2024	VLDB	4.299267e-05
9,963	Parallel Rule Discovery from Large Datasets by Sampling	2022	SIGMOD	4.2294678e-05
11,209	Enriching Recommendation Models with Logic Conditions	2023	SIGMOD	4.1945683e-05

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Overall Rank	Paper	Year	Venue	Pagerank
701	Efficient Algorithms for Mining Outliers from Large Data Sets	2000	SIGMOD	0.00017938417
9,709	Outlier Summarization via Human Interpretable Rules	2024	VLDB	4.299267e-05
3,920	Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms	2013	SIGMOD	6.6309693e-05
4,456	AutoOD: Automatic Outlier Detection	2023	SIGMOD	6.1704203e-05
7,575	Human-in-the-loop Outlier Detection	2020	SIGMOD	4.7068909e-05
11,467	Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach	2021	SIGMOD	4.1945683e-05
10,003	Clustering with Set Outliers and Applications in Relational Clustering	2026	PODS	4.1945683e-05
774	Algorithms for Mining Distance-Based Outliers in Large Datasets	1998	VLDB	0.00016865771
9,924	On Saving Outliers for Better Clustering over Noisy Data	2021	SIGMOD	4.2544238e-05
9,787	Distance-Based Outlier Detection: Consolidation and Renewed Bearing	2010	VLDB	4.2823546e-05