CM-Explorer: Dissecting Data Ingestion Problems
Summary: CM-Explorer: system for disentangling correlated violated conditional unit tests over conditional metrics (CMs) to surface minimal subrelations (tuples) that explain ingestion errors. Uses a graph explorer (correlation visualization), relation explorer (tuple browsing) and history explorer (temporal diagnostics) to help stewards find the most relevant tests. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Niels Bylois (Hasselt University)
- 2. Frank Neven (Hasselt University)
- 3. Stijn Vansummeren (Hasselt University)
BibTeX Citation
@article{bylois_vldb23,
title = {{CM-Explorer: Dissecting Data Ingestion Problems}},
author = {Bylois, Niels and Neven, Frank and Vansummeren, Stijn},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {3958--3961},
doi = {10.14778/3611540.3611595},
url = {https://doi.org/10.14778/3611540.3611595},
year = {2023}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,308 | Automating Large-Scale Data Quality Verification | 2018 | VLDB | 0.0001107886 |
| 3,706 | TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines | 2020 | SIGMOD | 7.0829596e-05 |
| 5,304 | Probabilistic Demand Forecasting at Scale | 2017 | VLDB | 6.1873575e-05 |
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