SeerCuts: Explainable Attribute Discretization
Summary: SeerCuts delivers explainable discretization for numerical attributes, aligning partitions with a task utility. Outputs bins balancing utility and interpretability, turning age into decade or life-stage bins for interpretable features. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Eugenie Y Lai (Massachusetts Institute of Technology)
- 2. Inbal Croitoru (Technion)
- 3. Noam Bitton (Technion)
- 4. Ariel Shalem (Technion)
- 5. Brit Youngmann (Technion)
- 6. Sainyam Galhotra (Cornell University)
- 7. El Kindi Rezig (The University of Utah)
- 8. Michael Cafarella (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{lai_sigmod25,
title = {{SeerCuts: Explainable Attribute Discretization}},
author = {Lai, Eugenie Y and Croitoru, Inbal and Bitton, Noam and Shalem, Ariel and Youngmann, Brit and Galhotra, Sainyam and Rezig, El Kindi and Cafarella, Michael},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725132},
url = {https://dl.acm.org/doi/10.1145/3722212.3725132},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 410 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.0001890421 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,124 | Consistent and Flexible Selectivity Estimation for High-Dimensional Data | 2021 | SIGMOD |
| 2 | 8,056 | Sieve: A Learned Data-Skipping Index for Data Analytics | 2023 | VLDB |
| 3 | 9,016 | DBSeer: Pain-free Database Administration through Workload Intelligence | 2015 | VLDB |
| 4 | 410 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB |
| 5 | 4,864 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB |
| 6 | 2,273 | SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging | 2021 | SIGMOD |
| 7 | 10,441 | Data-Semantics-Aware Recommendation of Diverse Pivot Tables | 2026 | SIGMOD |
| 8 | 8,484 | Synthesizing Extraction Rules from User Examples with SEER | 2017 | SIGMOD |
| 9 | 11,098 | SDEcho: Efficient Explanation of Aggregated Sequence Difference | 2025 | VLDB |
| 10 | 10,257 | Interpretable Attribute Discretization | 2026 | SIGMOD |