Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation
Summary: Unified optimization to resolve conflicts among heterogeneous data by jointly inferring truths and source reliability. Loss-aware, unified objective handles heterogeneous types; validated on weather, stock, and flight data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qi Li (State University of New York at Buffalo)
- 2. Yaliang Li (State University of New York at Buffalo)
- 3. Jing Gao (State University of New York at Buffalo)
- 4. Bo Zhao (Microsoft)
- 5. Wei Fan (Huawei)
- 6. Jiawei Han (University of Illinois Urbana-Champaign)
BibTeX Citation
@inproceedings{li_sigmod14,
title = {{Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation}},
author = {Li, Qi and Li, Yaliang and Gao, Jing and Zhao, Bo and Fan, Wei and Han, Jiawei},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2610509},
url = {https://dl.acm.org/doi/10.1145/2588555.2610509},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 427 | Big Data Integration | 2013 | VLDB | 0.00018661543 |
| 504 | A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration | 2012 | VLDB | 0.00017300628 |
| 890 | Integrating Conflicting Data: The Role of Source Dependence | 2009 | VLDB | 0.00013382697 |
| 955 | Truth Finding on the Deep Web: Is the Problem Solved? | 2013 | VLDB | 0.00012996675 |
| 1,783 | Data Fusion – Resolving Data Conflicts for Integration | 2009 | VLDB | 9.772895e-05 |
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