Outlier Summarization via Human Interpretable Rules
Summary: STAIR learns concise, human‑interpretable rules (attribute+value predicates) to summarize and explain outlier detection results with finer granularity via an interpretation‑aware objective and iterative rule‑splitting. L‑STAIR localizes learning per partition for high‑dimensional data. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuhao Deng
- 2. Yu Wang
- 3. Lei Cao
- 4. Lianpeng Qiao
- 5. Yuping Wang
- 6. Jingzhe Xu
- 7. Yizhou Yan
- 8. Samuel Madden
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,475 | OIE: An Interpretable System for Outlier Explanation and Summarization | 2025 | SIGMOD | 4.3341665e-05 |
| 10,029 | Outliers: The Good, the Bad and the Ugly | 2026 | SIGMOD | 4.1945683e-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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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,467 | Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach | 2021 | SIGMOD | 4.1945683e-05 |
| 10,029 | Outliers: The Good, the Bad and the Ugly | 2026 | SIGMOD | 4.1945683e-05 |
| 3,920 | Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms | 2013 | SIGMOD | 6.6309693e-05 |
| 774 | Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | VLDB | 0.00016865771 |
| 3,171 | Interactive Outlier Exploration in Big Data Streams | 2014 | VLDB | 7.4447236e-05 |
| 4,456 | AutoOD: Automatic Outlier Detection | 2023 | SIGMOD | 6.1704203e-05 |
| 4,552 | Outlier Detection for High Dimensional Data | 2001 | SIGMOD | 6.0922282e-05 |
| 9,787 | Distance-Based Outlier Detection: Consolidation and Renewed Bearing | 2010 | VLDB | 4.2823546e-05 |
| 7,575 | Human-in-the-loop Outlier Detection | 2020 | SIGMOD | 4.7068909e-05 |
| 9,475 | OIE: An Interpretable System for Outlier Explanation and Summarization | 2025 | SIGMOD | 4.3341665e-05 |