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On Active Learning of Record Matching Packages

Summary: Active learning for record matching: selective labeling to train a classifier. New algorithms exploit record-matching structure to guarantee quality and scalability; real-world experiments validate effectiveness. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h22180ec5269d81a8
Venue
SIGMOD
Year
2010
Pagerank
0.00016768308
Overall Rank
535 | 96.42%
DOI
10.1145/1807167.1807252

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{arasu_sigmod10,
        title = {{On Active Learning of Record Matching Packages}},
        author = {Arasu, Arvind and Götz, Michaela and Kaushik, Raghav},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807252},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807252},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 32 of 32 citing papers.

Rank Citing Paper Year Venue Pagerank
199 CrowdER: Crowdsourcing Entity Resolution 2012 VLDB 0.0002551523
434 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018323777
517 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00016946929
621 Entity Resolution: Theory, Practice & Open Challenges 2012 VLDB 0.00015460277
932 Question Selection for Crowd Entity Resolution 2013 VLDB 0.00012981731
2,271 ZeroER: Entity Resolution using Zero Labeled Examples 2020 SIGMOD 8.7110698e-05
2,290 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.6813363e-05
2,476 A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching 2020 SIGMOD 8.3932405e-05
2,647 Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning 2015 VLDB 8.1565673e-05
3,414 Waldo: An Adaptive Human Interface for Crowd Entity Resolution 2017 SIGMOD 7.3058225e-05
3,846 Learning Expressive Linkage Rules using Genetic Programming 2012 VLDB 6.9674404e-05
4,074 Crowd-Based Deduplication: An Adaptive Approach 2015 SIGMOD 6.8062505e-05
4,948 Deep Indexed Active Learning for Matching Heterogeneous Entity Representations 2022 VLDB 6.3276067e-05
5,054 Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration 2013 VLDB 6.2842233e-05
5,100 Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond 2021 SIGMOD 6.2624729e-05
5,344 Argonaut: Macrotask Crowdsourcing for Complex Data Processing 2015 VLDB 6.1575792e-05
5,496 Big Graphs: Challenges and Opportunities 2022 VLDB 6.0944008e-05
5,646 MaskIt: Privately Releasing User Context Streams for Personalized Mobile Applications 2012 SIGMOD 6.0353167e-05
6,113 Expand your Training Limits! Generating Training Data for ML-based Data Management 2021 SIGMOD 5.8662826e-05
6,539 Parallel Discrepancy Detection and Incremental Detection 2021 VLDB 5.7351897e-05
7,431 Linking Temporal Records for Profiling Entities 2015 SIGMOD 5.5137719e-05
7,780 User Guidance for Efficient Fact Checking 2019 VLDB 5.4377978e-05
7,892 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 5.4156936e-05
8,541 Minimizing Efforts in Validating Crowd Answers 2015 SIGMOD 5.304278e-05
9,744 Ground Truth Inference for Weakly Supervised Entity Matching 2023 SIGMOD 5.1180929e-05
9,847 Making It Tractable to Catch Duplicates and Conflicts in Graphs 2023 SIGMOD 5.1064323e-05
10,280 Towards Interpretable and Learnable Risk Analysis for Entity Resolution 2020 SIGMOD 5.0334833e-05
11,644 Enriching Relations with Additional Attributes for ER 2024 VLDB 4.9605343e-05
11,788 Splitting Tuples of Mismatched Entities 2023 SIGMOD 4.9605343e-05
11,993 New Algorithms for Monotone Classification 2021 PODS 4.9605343e-05
12,247 Entity Matching with Active Monotone Classification 2018 PODS 4.9605343e-05
12,729 Web Scale Taxonomy Cleansing 2011 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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