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: 4726
Venue: SIGMOD
Year: 2013
Pagerank: 7.5577057e-05
Overall Rank: 3,104 | 78.43%
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
641	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018759417
2,176	Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services	2017	SIGMOD	9.3729351e-05
2,805	Query-Oriented Data Cleaning with Oracles	2015	SIGMOD	8.103731e-05
4,483	Optimal Crowd-Powered Rating and Filtering Algorithms	2014	VLDB	6.1431599e-05
4,617	Crowd-Based Deduplication: An Adaptive Approach	2015	SIGMOD	6.0400801e-05
5,029	Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments	2017	SIGMOD	5.7447454e-05
7,025	Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets	2015	VLDB	4.8530001e-05
7,116	Crowdsourced Data Management: Overview and Challenges	2017	SIGMOD	4.8219732e-05
7,224	OASSIS: Query Driven Crowd Mining	2014	SIGMOD	4.791302e-05
7,647	User Guidance for Efficient Fact Checking	2019	VLDB	4.6844821e-05
8,358	Minimizing Efforts in Validating Crowd Answers	2015	SIGMOD	4.5324924e-05
8,510	Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace	2017	VLDB	4.4904732e-05
8,690	Managing General and Individual Knowledge in Crowd Mining Applications	2015	CIDR	4.4618888e-05
8,691	CrowdMiner: Mining association rules from the crowd	2013	VLDB	4.4618888e-05
9,214	Ontology Assisted Crowd Mining	2014	VLDB	4.3680645e-05
11,796	CDB: Optimizing Queries with Crowd-Based Selections and Joins	2017	SIGMOD	4.1905499e-05

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	0.0010863639
36	Fast Algorithms for Mining Association Rules	1994	VLDB	0.00076114894
94	CrowdDB: Answering Queries with Crowdsourcing	2011	SIGMOD	0.00051273089
118	Answering Queries using Humans, Algorithms and Databases	2011	CIDR	0.00045860394
246	Crowdsourced Databases: Query Processing with People	2011	CIDR	0.00030952631
473	Sampling Large Databases for Association Rules	1996	VLDB	0.00022304724
829	Efficiently Mining Long Patterns from Databases	1998	SIGMOD	0.00016137512
5,458	Crowdsourcing Applications and Platforms: A Data Management Perspective	2011	VLDB	5.4952003e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
94	CrowdDB: Answering Queries with Crowdsourcing	2011	SIGMOD	0.00051273089
7,577	Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion	2012	VLDB	4.703047e-05
1,154	CrowdScreen: Algorithms for Filtering Data with Humans	2012	SIGMOD	0.00013616867
9,214	Ontology Assisted Crowd Mining	2014	VLDB	4.3680645e-05
14,034	Data Mining Techniques	1996	SIGMOD	-
4,092	On Dense Pattern Mining in Graph Streams [Extended Abstract]	2010	VLDB	6.4525563e-05
7,116	Crowdsourced Data Management: Overview and Challenges	2017	SIGMOD	4.8219732e-05
7,224	OASSIS: Query Driven Crowd Mining	2014	SIGMOD	4.791302e-05
8,690	Managing General and Individual Knowledge in Crowd Mining Applications	2015	CIDR	4.4618888e-05
8,691	CrowdMiner: Mining association rules from the crowd	2013	VLDB	4.4618888e-05