Deduplicated Sampling On-Demand

Summary: Produce clean stratified samples from dirty datasets with duplicate entity representations, avoiding bias from multiple records per real-world entity. RadlER performs on-demand deduplication—cleaning only entities required for the sample—to match target group distributions far more efficiently than full-dedup-then-sample baselines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13895
Venue: VLDB
Year: 2025
Pagerank: 4.1905499e-05
Overall Rank: 10,625 | 26.16%
DOI: 10.14778/3742728.3742742

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,812	RadlER: Deduplicated Sampling On-Demand	2025	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 32 of 32 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
219	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.00033354456
293	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028661817
394	Big Data Integration	2013	VLDB	0.0002447017
516	Can Foundation Models Wrangle Your Data?	2023	VLDB	0.00021194444
641	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018759417
705	Magellan: Toward Building Entity Matching Management Systems	2016	VLDB	0.00017779048
740	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.00017358024
788	ActiveClean: Interactive Data Cleaning For Statistical Modeling	2016	VLDB	0.00016618698
1,821	Synthesizing Entity Matching Rules by Examples	2018	VLDB	0.00010406856
2,176	Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services	2017	SIGMOD	9.3729351e-05
2,177	A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data	2014	SIGMOD	9.371335e-05
2,575	Query Optimization for Dynamic Imputation	2017	VLDB	8.5100213e-05
2,758	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD	8.1668285e-05
3,170	Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence	2021	SIGMOD	7.4517805e-05
3,469	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB	7.0629476e-05
4,023	Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching	2023	VLDB	6.5181292e-05
4,101	Online Entity Resolution Using an Oracle	2016	VLDB	6.4462498e-05
4,271	Cleaning Denial Constraint Violations through Relaxation	2020	SIGMOD	6.2943273e-05
5,594	QuERy: A Framework for Integrating Entity Resolution with Query Processing	2016	VLDB	5.416945e-05
6,047	MDedup: Duplicate Detection with Matching Dependencies	2020	VLDB	5.2355891e-05
6,179	Query-Driven Approach to Entity Resolution	2013	VLDB	5.1645342e-05
6,462	Tailoring Data Source Distributions for Fairness-aware Data Integration	2021	VLDB	5.0479645e-05
6,644	Query Refinement for Diversity Constraint Satisfaction	2024	VLDB	4.973836e-05
6,696	Analyzing How BERT Performs Entity Matching	2022	VLDB	4.9542861e-05
7,135	Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching	2023	VLDB	4.8171662e-05
7,666	Fast Detection of Denial Constraint Violations	2022	VLDB	4.6792751e-05
7,667	Human-in-the-loop Data Integration	2017	VLDB	4.6791871e-05
7,930	Entity Resolution On-Demand	2022	VLDB	4.6089604e-05
9,247	ZIP: Lazy Imputation during Query Processing	2024	VLDB	4.3648789e-05
9,463	BrewER: Entity Resolution On-Demand	2023	VLDB	4.3324933e-05
9,854	Progressive Entity Matching: A Design Space Exploration	2025	SIGMOD	4.2652623e-05
9,855	In-Database Data Imputation	2024	SIGMOD	4.2652623e-05

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