Real-Time Distance-Based Outlier Detection in Data Streams
Summary: CPOD introduces a core-point with multi-distance indexing for real-time distance-based outlier detection in streaming data on edge devices. Memory-efficient; up to 73x faster than MCOD/NETS/M_MCOD across six real-world and one synthetic dataset by shrinking neighbor search. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Luan Tran
- 2. Min Y. Mun
- 3. Cyrus Shahabi
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,290 | TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data | 2022 | VLDB | 9.0934125e-05 |
| 4,762 | METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection | 2024 | VLDB | 5.9395463e-05 |
| 5,125 | The Art of Balance: A RateupDBTM Experience of Building a CPU/GPU Hybrid Database Product | 2021 | VLDB | 5.679423e-05 |
| 5,468 | Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles | 2022 | VLDB | 5.4902013e-05 |
| 7,391 | Time Series Data Validity | 2023 | SIGMOD | 4.7429293e-05 |
| 8,157 | TOD: GPU-accelerated Outlier Detection via Tensor Operations | 2023 | VLDB | 4.5730908e-05 |
| 9,794 | Distance-based Outlier Query Optimization in Apache IoTDB | 2024 | VLDB | 4.2818172e-05 |
| 11,467 | Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach | 2021 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 91 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.0005181666 |
| 774 | Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | VLDB | 0.00016865771 |
| 1,854 | Distance-based Outlier Detection in Data Streams | 2016 | VLDB | 0.00010317762 |
| 3,012 | NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing | 2019 | VLDB | 7.7153586e-05 |
| 3,264 | Dynamic Density Based Clustering | 2017 | SIGMOD | 7.3094408e-05 |
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