DataPrism: Exposing Disconnect between Data and Systems
Summary: DataPrism performs causal interventions to expose data profiles driving system failures. Root causes identified precisely with orders of magnitude fewer interventions than prior work, validated on seven real and synthetic data-driven systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sainyam Galhotra
- 2. Anna Fariha
- 3. Raoni Lourenço
- 4. Juliana Freire
- 5. Alexandra Meliou
- 6. Divesh Srivastava
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,743 | CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning | 2024 | SIGMOD | 4.456315e-05 |
| 9,928 | Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search | 2024 | VLDB | 4.2511622e-05 |
| 10,428 | CausalExplain: Causal Explanations of Black-box Models with Training Data Subsets | 2025 | SIGMOD | 4.1945683e-05 |
| 10,954 | Counterfactual Explanation at Will, with Zero Privacy Leakage | 2024 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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