On Saving Outliers for Better Clustering over Noisy Data

Summary: Outlier-saving: minimally adjust erroneous values to render outliers normal, enabling clustering on the cleaned data. NP-hardness proven; bounds, a guaranteed-approximation algorithm; experiments show improved clustering and downstream tasks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6163
Venue: SIGMOD
Year: 2021
Pagerank: 4.2503475e-05
Overall Rank: 9,923 | 31.04%
DOI: 10.1145/3448016.3457271

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,621	ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation	2023	VLDB	4.3125802e-05
11,053	Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data	2024	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
67	The Merge/Purge Problem for Large Databases	1995	SIGMOD	0.00061419648
192	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00035692958
263	OPTICS: Ordering Points To Identify the Clustering Structure	1999	SIGMOD	0.00029955858
556	Discovering Denial Constraints	2013	VLDB	0.00020214701
560	Dependencies Revisited for Improving Data Quality	2008	PODS	0.0002012328
656	ERACER: A Database Approach for Statistical Inference and Data Cleaning	2010	SIGMOD	0.00018590675
762	Explaining differences in multidimensional aggregates	1999	VLDB	0.00016984985
768	Algorithms for Mining Distance-Based Outliers in Large Datasets	1998	VLDB	0.00016864875
879	Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes	2013	SIGMOD	0.00015649604
1,214	Truth Finding on the Deep Web: Is the Problem Solved?	2013	VLDB	0.00013246179
2,826	Finding Intensional Knowledge of Distance-Based Outliers	1999	VLDB	8.0562807e-05

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697	Efficient Algorithms for Mining Outliers from Large Data Sets	2000	SIGMOD	0.00017964755
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