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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
7335
Venue
SIGMOD
Year
2026
Pagerank
4.1905499e-05
Overall Rank
10,029 | 30.30%
DOI
10.1145/3749177

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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 0.00067607389
159 LOF: Identifying Density-Based Local Outliers 2000 SIGMOD 0.00040135453
182 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.00036955562
556 Discovering Denial Constraints 2013 VLDB 0.00020214701
768 Algorithms for Mining Distance-Based Outliers in Large Datasets 1998 VLDB 0.00016864875
788 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00016618698
890 A Hybrid Approach to Functional Dependency Discovery 2016 SIGMOD 0.00015542177
1,096 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00014088686
1,187 On Generating Near-Optimal Tableaux for Conditional Functional Dependencies 2008 VLDB 0.00013432048
2,484 Discovery of Approximate (and Exact) Denial Constraints 2020 VLDB 8.6737275e-05
4,421 The Interaction between Functional Dependencies and Template Dependencies 1980 SIGMOD 6.1939227e-05
4,455 AutoOD: Automatic Outlier Detection 2023 SIGMOD 6.1644904e-05
5,132 CAPE: Explaining Outliers by Counterbalancing 2019 VLDB 5.6704051e-05
6,601 Missing Data Imputation with Uncertainty-Driven Network 2024 SIGMOD 4.9924633e-05
7,580 Human-in-the-loop Outlier Detection 2020 SIGMOD 4.7023767e-05
7,798 CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties 2021 VLDB 4.6438053e-05
7,927 CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning 2021 SIGMOD 4.6100307e-05
8,500 A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science 2021 VLDB 4.4920292e-05
9,278 ActiveDeeper: A Model-based Active Data Enrichment System 2020 VLDB 4.3607776e-05
9,439 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 4.3389137e-05
9,708 Outlier Summarization via Human Interpretable Rules 2024 VLDB 4.2951473e-05
9,962 Parallel Rule Discovery from Large Datasets by Sampling 2022 SIGMOD 4.2254157e-05
11,211 Enriching Recommendation Models with Logic Conditions 2023 SIGMOD 4.1905499e-05
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