Adaptive Outlier Detection over Data Stream
Summary: Introduces RPA-OD, a recall–proportion-aware relaxation of distance-based streaming outlier detection. Its rho-controlled radius expansion trades recall for throughput, enabling precise outlier-count control and real-time processing under dynamic distributions. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Rui Zhu (Shenyang Aerospace University)
- 2. Mingyuan Jiang (Northeastern University)
- 3. Xiaochun Yang (Northeastern University)
- 4. Baihua Zheng (Singapore Management University)
- 5. Bin Wang (Northeastern University)
- 6. Tao Qiu (Shenyang Aerospace University)
BibTeX Citation
@inproceedings{zhu_sigmod26,
title = {{Adaptive Outlier Detection over Data Stream}},
author = {Zhu, Rui and Jiang, Mingyuan and Yang, Xiaochun and Zheng, Baihua and Wang, Bin and Qiu, Tao},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802007},
url = {https://dl.acm.org/doi/10.1145/3802007},
year = {2026}
}
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