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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
4725
Venue
SIGMOD
Year
2013
Pagerank
7.5634778e-05
Overall Rank
3,100 | 78.44%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
643 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018754451
2,175 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 9.3644117e-05
2,797 Query-Oriented Data Cleaning with Oracles 2015 SIGMOD 8.1108589e-05
4,479 Optimal Crowd-Powered Rating and Filtering Algorithms 2014 VLDB 6.149053e-05
4,619 Crowd-Based Deduplication: An Adaptive Approach 2015 SIGMOD 6.0444854e-05
5,029 Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments 2017 SIGMOD 5.7502622e-05
7,023 Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets 2015 VLDB 4.8576599e-05
7,117 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 4.826509e-05
7,224 OASSIS: Query Driven Crowd Mining 2014 SIGMOD 4.7959024e-05
7,648 User Guidance for Efficient Fact Checking 2019 VLDB 4.6889787e-05
8,362 Minimizing Efforts in Validating Crowd Answers 2015 SIGMOD 4.5366717e-05
8,517 Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace 2017 VLDB 4.4943871e-05
8,694 Managing General and Individual Knowledge in Crowd Mining Applications 2015 CIDR 4.4661379e-05
8,695 CrowdMiner: Mining association rules from the crowd 2013 VLDB 4.4661379e-05
9,212 Ontology Assisted Crowd Mining 2014 VLDB 4.3722536e-05
11,788 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 4.1945683e-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 0.0010864752
36 Fast Algorithms for Mining Association Rules 1994 VLDB 0.00076161096
94 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00051013264
119 Answering Queries using Humans, Algorithms and Databases 2011 CIDR 0.0004564788
249 Crowdsourced Databases: Query Processing with People 2011 CIDR 0.00030740523
473 Sampling Large Databases for Association Rules 1996 VLDB 0.0002233798
840 Efficiently Mining Long Patterns from Databases 1998 SIGMOD 0.00016058396
5,450 Crowdsourcing Applications and Platforms: A Data Management Perspective 2011 VLDB 5.5003491e-05
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Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
94 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00051013264
7,572 Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion 2012 VLDB 4.7075553e-05
1,164 CrowdScreen: Algorithms for Filtering Data with Humans 2012 SIGMOD 0.00013564823
9,212 Ontology Assisted Crowd Mining 2014 VLDB 4.3722536e-05
14,020 Data Mining Techniques 1996 SIGMOD -
4,089 On Dense Pattern Mining in Graph Streams [Extended Abstract] 2010 VLDB 6.4587806e-05
7,117 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 4.826509e-05
7,224 OASSIS: Query Driven Crowd Mining 2014 SIGMOD 4.7959024e-05
8,694 Managing General and Individual Knowledge in Crowd Mining Applications 2015 CIDR 4.4661379e-05
8,695 CrowdMiner: Mining association rules from the crowd 2013 VLDB 4.4661379e-05