Deduplicated Sampling On-Demand
Summary: Defines deduplicated stratified sampling: generating target-distribution samples from dirty data without upfront full deduplication. RadlER adaptively cleans only entities needed for the requested sample, substantially improving efficiency across domains. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Luca Zecchini (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)
- 2. Vasilis Efthymiou (Harokopio University)
- 3. Felix Naumann (Hasso Plattner Institute)
- 4. Giovanni Simonini (University of Modena and Reggio Emilia)
BibTeX Citation
@article{zecchini_vldb25,
title = {{Deduplicated Sampling On-Demand}},
author = {Zecchini, Luca and Efthymiou, Vasilis and Naumann, Felix and Simonini, Giovanni},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {8},
pages = {2482--2495},
doi = {10.14778/3742728.3742742},
url = {https://doi.org/10.14778/3742728.3742742},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,594 | Weighted Set Multi-Cover on Bounded Universe and Applications in Package Recommendation | 2026 | SIGMOD | 4.9605343e-05 |
| 11,457 | RadlER: Deduplicated Sampling On-Demand | 2025 | VLDB | 4.9605343e-05 |
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 9,276 | R2D2: Reducing Redundancy and Duplication in Data Lakes | 2023 | SIGMOD |
| 2 | 886 | Framework for Evaluating Clustering Algorithms in Duplicate Detection | 2009 | VLDB |
| 3 | 6,988 | Sampling Dirty Data for Matching Attributes | 2010 | SIGMOD |
| 4 | 3,437 | Modeling and Querying Possible Repairs in Duplicate Detection | 2009 | VLDB |
| 5 | 7,422 | BrewER: Entity Resolution On-Demand | 2023 | VLDB |
| 6 | 6,861 | Serving Deep Learning Models with Deduplication from Relational Databases | 2022 | VLDB |
| 7 | 4,074 | Crowd-Based Deduplication: An Adaptive Approach | 2015 | SIGMOD |
| 8 | 12,246 | Distinct Sampling on Streaming Data with Near-Duplicates | 2018 | PODS |
| 9 | 5,544 | MDedup: Duplicate Detection with Matching Dependencies | 2020 | VLDB |
| 10 | 11,457 | RadlER: Deduplicated Sampling On-Demand | 2025 | VLDB |