OIE: An Interpretable System for Outlier Explanation and Summarization
Summary: OIE is an interpretable system for outlier explanation and summarization, delivering fine-grained, rule-based insights instead of opaque flags. It uses decision trees to generate concise rules, with dynamic data partitioning and a boundary stabilizer to scale to high-dimensional data and subspace-specific outlier causes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jingzhe Xu
- 2. Yuhao Deng
- 3. Chengliang Chai
- 4. Zequn Li
- 5. Yuping Wang
- 6. Lei Cao
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,983 | Towards Scalable Visual Data Wrangling via Direct Manipulation | 2026 | CIDR | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 213 | Scorpion: Explaining Away Outliers in Aggregate Queries | 2013 | VLDB | 0.0003371037 |
| 9,708 | Outlier Summarization via Human Interpretable Rules | 2024 | VLDB | 4.2951473e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,029 | Outliers: The Good, the Bad and the Ugly | 2026 | SIGMOD | 4.1905499e-05 |
| 2,635 | Online Outlier Detection in Sensor Data Using Non-Parametric Models | 2006 | VLDB | 8.4081184e-05 |
| 4,553 | A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System | 2022 | VLDB | 6.0852762e-05 |
| 4,549 | Outlier Detection for High Dimensional Data | 2001 | SIGMOD | 6.0866685e-05 |
| 9,790 | Distance-Based Outlier Detection: Consolidation and Renewed Bearing | 2010 | VLDB | 4.2782534e-05 |
| 3,921 | Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms | 2013 | SIGMOD | 6.6245531e-05 |
| 4,455 | AutoOD: Automatic Outlier Detection | 2023 | SIGMOD | 6.1644904e-05 |
| 3,176 | Interactive Outlier Exploration in Big Data Streams | 2014 | VLDB | 7.4380543e-05 |
| 7,580 | Human-in-the-loop Outlier Detection | 2020 | SIGMOD | 4.7023767e-05 |
| 9,708 | Outlier Summarization via Human Interpretable Rules | 2024 | VLDB | 4.2951473e-05 |