Temporal Rules Discovery for Web Data Cleaning
Summary: Mines temporal rules for sparse, delayed, and noisy web facts, combining association measures, outlier detection, and repair during discovery. On Recorded Future data, temporal rules raise cleaning precision from 0.37 to 0.84 and F-measure by 40%. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ziawasch Abedjan (Massachusetts Institute of Technology)
- 2. Cuneyt G. Akcora (Qatar Computing Research Institute)
- 3. Mourad Ouzzani (Qatar Computing Research Institute)
- 4. Paolo Papotti (Qatar Computing Research Institute)
- 5. Michael Stonebraker (Massachusetts Institute of Technology)
BibTeX Citation
@article{abedjan_vldb16,
title = {{Temporal Rules Discovery for Web Data Cleaning}},
author = {Abedjan, Ziawasch and Akcora, Cuneyt G. and Ouzzani, Mourad and Papotti, Paolo and Stonebraker, Michael},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {4},
pages = {336--347},
doi = {10.14778/2850583.2850592},
url = {https://doi.org/10.14778/2850583.2850592},
year = {2016}
}
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