Staging User Feedback toward Rapid Conflict Resolution in Data Fusion
Summary: Staging user feedback to rapidly resolve conflicts in data fusion; leverages source consensus and fusion output to prioritize items for validation. Introduces a VPI-based decision-theoretic framework with scalable approximations to rank items by expected information gain, yielding improved fusion accuracy with limited feedback on real datasets. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Romila Pradhan (Purdue University)
- 2. Siarhei Bykau (Bloomberg)
- 3. Sunil Prabhakar (Purdue University)
BibTeX Citation
@inproceedings{pradhan_sigmod17,
title = {{Staging User Feedback toward Rapid Conflict Resolution in Data Fusion}},
author = {Pradhan, Romila and Bykau, Siarhei and Prabhakar, Sunil},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3035941},
url = {https://dl.acm.org/doi/10.1145/3035918.3035941},
year = {2017}
}
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