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Crowd Mining

Summary: Crowd mining for open-world data collection; formal settings and a generic framework to pick questions and mine patterns from imperfect answers. Presents implementations, benchmarks for crowd data, and an algorithm that outperforms baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4787
Venue
SIGMOD
Year
2013
Pagerank
8.1203892e-05
Overall Rank
2,789 | 80.87%
DOI
10.1145/2463676.2465318

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{amsterdamer_sigmod13,
        title = {{Crowd Mining}},
        author = {Amsterdamer, Yael and Grossman, Yael and Milo, Tova and Senellart, Pierre},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465318},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465318},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
439 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018464913
1,643 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 0.00010134956
2,570 Query-Oriented Data Cleaning with Oracles 2015 SIGMOD 8.4061164e-05
3,914 Optimal Crowd-Powered Rating and Filtering Algorithms 2014 VLDB 7.0204052e-05
3,983 Crowd-Based Deduplication: An Adaptive Approach 2015 SIGMOD 6.9739851e-05
4,821 Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments 2017 SIGMOD 6.4935866e-05
7,081 OASSIS: Query Driven Crowd Mining 2014 SIGMOD 5.7086247e-05
7,222 Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets 2015 VLDB 5.6679185e-05
7,357 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 5.6346837e-05
7,628 User Guidance for Efficient Fact Checking 2019 VLDB 5.5798467e-05
8,351 Minimizing Efforts in Validating Crowd Answers 2015 SIGMOD 5.4454221e-05
8,788 Managing General and Individual Knowledge in Crowd Mining Applications 2015 CIDR 5.3726124e-05
8,789 CrowdMiner: Mining association rules from the crowd 2013 VLDB 5.3726124e-05
8,807 Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace 2017 VLDB 5.3671183e-05
9,275 Ontology Assisted Crowd Mining 2014 VLDB 5.2940303e-05
9,401 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 5.2755515e-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
13 Mining Association Rules between Sets of Items in Large Databases 1993 SIGMOD 0.0006567919
27 Fast Algorithms for Mining Association Rules 1994 VLDB 0.00052255472
90 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00034951786
250 Answering Queries using Humans, Algorithms and Databases 2011 CIDR 0.00023261164
251 Crowdsourced Databases: Query Processing with People 2011 CIDR 0.00023261113
462 Sampling Large Databases for Association Rules 1996 VLDB 0.00018065337
886 Efficiently Mining Long Patterns from Databases 1998 SIGMOD 0.0001340645
5,343 Crowdsourcing Applications and Platforms: A Data Management Perspective 2011 VLDB 6.259258e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 90 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD
2 7,630 Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion 2012 VLDB
3 997 CrowdScreen: Algorithms for Filtering Data with Humans 2012 SIGMOD
4 9,275 Ontology Assisted Crowd Mining 2014 VLDB
5 14,219 Data Mining Techniques 1996 SIGMOD
6 4,236 On Dense Pattern Mining in Graph Streams 2010 VLDB
7 7,357 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD
8 7,081 OASSIS: Query Driven Crowd Mining 2014 SIGMOD
9 8,788 Managing General and Individual Knowledge in Crowd Mining Applications 2015 CIDR
10 8,789 CrowdMiner: Mining association rules from the crowd 2013 VLDB