Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil?
Summary: Panel critiques automated data prep/ML tools, asking if industry hype masks snake oil or real gains. Emphasizes lack of benchmarks and calls for rigorous evaluation plus academia–industry collaboration to advance data-prep research in DB/data-management. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arun Kumar
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,810 | Pollock: A Data Loading Benchmark | 2023 | VLDB | 4.6415099e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 139 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00042320525 |
| 192 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00035692958 |
| 5,244 | Towards Benchmarking Feature Type Inference for AutoML Platforms | 2021 | SIGMOD | 5.6021738e-05 |
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