CDAS: A Crowdsourcing Data Analytics System
Summary: CDAS is a crowdsourcing analytics framework that integrates human and machine tasks through a quality-sensitive query model. It estimates worker-driven result accuracy, adaptively verifies answers online, and reduces cost while meeting accuracy targets in Twitter sentiment and image-tagging workloads. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xuan Liu (National University of Singapore)
- 2. Meiyu Lu (National University of Singapore)
- 3. Beng Chin Ooi (National University of Singapore)
- 4. Yanyan Shen (National University of Singapore)
- 5. Sai Wu (Zhejiang University)
- 6. Meihui Zhang (National University of Singapore)
BibTeX Citation
@article{liu_vldb12,
title = {{CDAS: A Crowdsourcing Data Analytics System}},
author = {Liu, Xuan and Lu, Meiyu and Ooi, Beng Chin and Shen, Yanyan and Wu, Sai and Zhang, Meihui},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {10},
pages = {1040--1051},
doi = {10.14778/2336664.2336672},
url = {https://doi.org/10.14778/2336664.2336672},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 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 | 0.00034672523 |
| 257 | Crowdsourced Databases: Query Processing with People | 2011 | CIDR | 0.00022962347 |
| 259 | Answering Queries using Humans, Algorithms and Databases | 2011 | CIDR | 0.00022923243 |
| 787 | Human-Assisted Graph Search: It’s Okay to Ask Questions | 2011 | VLDB | 0.00013988274 |
| 877 | Integrating Conflicting Data: The Role of Source Dependence | 2009 | VLDB | 0.00013306717 |
| 2,192 | Demonstration of Qurk: A Query Processor for Human Operators | 2011 | SIGMOD | 8.8821872e-05 |
| 3,079 | Online Data Fusion | 2011 | VLDB | 7.6698103e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 933 | Question Selection for Crowd Entity Resolution | 2013 | VLDB |
| 2 | 5,466 | Crowdsourcing Applications and Platforms: A Data Management Perspective | 2011 | VLDB |
| 3 | 8,664 | CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling | 2019 | SIGMOD |
| 4 | 92 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD |
| 5 | 3,197 | iCrowd: An Adaptive Crowdsourcing Framework | 2015 | SIGMOD |
| 6 | 5,614 | CrowdQ: Crowdsourced Query Understanding | 2013 | CIDR |
| 7 | 2,642 | Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning | 2015 | VLDB |
| 8 | 3,839 | QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications | 2015 | SIGMOD |
| 9 | 5,250 | An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems | 2013 | SIGMOD |
| 10 | 7,500 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD |