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Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning

Summary: Scalable active-learning for crowd-sourced databases, combining ML with human labeling via nonparametric bootstrap. MTurk and 15 datasets show 1–2 orders of magnitude fewer questions than baselines and 4.5–44× faster than prior AL. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hf18fc83ae7e33252
Venue
VLDB
Year
2015
Pagerank
8.1565673e-05
Overall Rank
2,647 | 82.26%
DOI
10.14778/2735471.2735474
PDF
Download (CC BY-NC-ND 3.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mozafari_vldb15,
        title = {{Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning}},
        author = {Mozafari, Barzan and Sarkar, Purna and Franklin, Michael and Jordan, Michael and Madden, Samuel},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {2},
        pages = {125},
        doi = {10.14778/2735471.2735474},
        url = {https://doi.org/10.14778/2735471.2735474},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 18 of 18 citing papers.

Rank Citing Paper Year Venue Pagerank
460 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00017836918
770 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00014086699
989 Data Cleaning: Overview and Emerging Challenges 2016 SIGMOD 0.00012638176
1,650 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 9.9690948e-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
3,318 Cleaning Crowdsourced Labels Using Oracles for Statistical Classification 2019 VLDB 7.4142395e-05
4,029 CLAMShell: Speeding up Crowds for Low-latency Data Labeling 2016 VLDB 6.8285702e-05
4,948 Deep Indexed Active Learning for Matching Heterogeneous Entity Representations 2022 VLDB 6.3276067e-05
5,931 In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling 2017 VLDB 5.9263018e-05
6,791 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 5.6647309e-05
7,780 User Guidance for Efficient Fact Checking 2019 VLDB 5.4377978e-05
9,823 The Battleship Approach to the Low Resource Entity Matching Problem 2023 SIGMOD 5.1089508e-05
10,280 Towards Interpretable and Learnable Risk Analysis for Entity Resolution 2020 SIGMOD 5.0334833e-05
10,819 ALER: An Active Learning Hybrid System for Efficient Entity Resolution 2026 VLDB 4.9605343e-05
11,794 VersaMatch: Ontology Matching with Weak Supervision 2023 VLDB 4.9605343e-05
12,140 Recommending Deployment Strategies for Collaborative Tasks 2020 SIGMOD 4.9605343e-05
12,322 Staging User Feedback toward Rapid Conflict Resolution in Data Fusion 2017 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
92 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00034613457
199 CrowdER: Crowdsourcing Entity Resolution 2012 VLDB 0.0002551523
266 Human-powered Sorts and Joins 2012 VLDB 0.00022701006
535 On Active Learning of Record Matching Packages 2010 SIGMOD 0.00016768308
991 CrowdScreen: Algorithms for Filtering Data with Humans 2012 SIGMOD 0.00012632003
1,924 The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing 2014 SIGMOD 9.3535088e-05
1,932 Counting with the Crowd 2013 VLDB 9.3441665e-05
5,487 ABS: a System for Scalable Approximate Queries with Accuracy Guarantees 2014 SIGMOD 6.0974772e-05
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