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Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Summary: Proposes an interpretable, learnable risk-analysis framework for entity resolution that ranks labeled pairs by mislabeling risk. Automatically derives interpretable risk features and trains a learnable model; experiments show higher accuracy than baselines.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5786
- Venue
- SIGMOD
- Year
- 2020
- Pagerank
- 4.2559233e-05
- Overall Rank
- 9,895 | 31.23%
- DOI
-
10.1145/3318464.3380572
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Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 192 |
HoloClean: Holistic Data Repairs with Probabilistic Inference |
2017 |
VLDB |
0.00035692958 |
| 265 |
CrowdER: Crowdsourcing Entity Resolution |
2012 |
VLDB |
0.00029904018 |
| 293 |
Deep Learning for Entity Matching: A Design Space Exploration |
2018 |
SIGMOD |
0.00028661817 |
| 507 |
On Active Learning of Record Matching Packages |
2010 |
SIGMOD |
0.00021474096 |
| 641 |
Corleone: Hands-Off Crowdsourcing for Entity Matching |
2014 |
SIGMOD |
0.00018759417 |
| 700 |
Reasoning about Record Matching Rules |
2009 |
VLDB |
0.00017927576 |
| 740 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017358024 |
| 799 |
Entity Resolution: Theory, Practice & Open Challenges |
2012 |
VLDB |
0.00016479804 |
| 1,242 |
Question Selection for Crowd Entity Resolution |
2013 |
VLDB |
0.00013088272 |
| 1,544 |
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing |
2015 |
SIGMOD |
0.00011438274 |
| 1,842 |
Crowdsourcing Algorithms for Entity Resolution |
2014 |
VLDB |
0.00010342022 |
| 2,725 |
Progressive Approach to Relational Entity Resolution |
2014 |
VLDB |
8.2268045e-05 |
| 3,020 |
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning |
2015 |
VLDB |
7.6987905e-05 |
| 3,854 |
Generating Concise Entity Matching Rules |
2017 |
SIGMOD |
6.697423e-05 |
| 4,101 |
Online Entity Resolution Using an Oracle |
2016 |
VLDB |
6.4462498e-05 |
| 4,112 |
Waldo: An Adaptive Human Interface for Crowd Entity Resolution |
2017 |
SIGMOD |
6.4329055e-05 |
| 4,617 |
Crowd-Based Deduplication: An Adaptive Approach |
2015 |
SIGMOD |
6.0400801e-05 |
| 5,369 |
Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach |
2016 |
SIGMOD |
5.5436995e-05 |
| 6,873 |
Cost-Effective Data Annotation using Game-Based Crowdsourcing |
2019 |
VLDB |
4.8963037e-05 |
| 7,667 |
Human-in-the-loop Data Integration |
2017 |
VLDB |
4.6791871e-05 |
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