Pytheas: Pattern-based Table Discovery in CSV Files
Summary: Pytheas uses pattern-based line classification and column-value coherency to discover tables in loosely structured CSVs. It achieves precision/recall above 95% (vs ~89/81), generalizes across countries, and provides a confidence measure for potential errors. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christina Christodoulakis (University of Toronto)
- 2. Eric B. Munson (University of Toronto)
- 3. Moshe Gabel (University of Toronto)
- 4. Angela Demke Brown (University of Toronto)
- 5. Renée J. Miller (Northeastern University)
BibTeX Citation
@article{christodoulakis_vldb20,
title = {{Pytheas: Pattern-based Table Discovery in CSV Files}},
author = {Christodoulakis, Christina and Munson, Eric B. and Gabel, Moshe and Brown, Angela Demke and Miller, Renée J.},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {11},
pages = {2075--2089},
doi = {10.14778/3407790.3407810},
url = {https://doi.org/10.14778/3407790.3407810},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,167 | Mondrian: Spreadsheet Layout Detection | 2022 | SIGMOD | 5.6841406e-05 |
| 7,803 | Pollock: A Data Loading Benchmark | 2023 | VLDB | 5.5418222e-05 |
| 8,397 | A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science | 2021 | VLDB | 5.4344976e-05 |
| 11,618 | Detecting Layout Templates in Complex Multiregion Files | 2022 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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