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Outlier detection (OD) is a key learning task for finding rare and deviant data samples, with many time-critical applications such as fraud detection and intrusion detection.
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PyOD Download Statistics
Petru Sincraian. 2021 · 2021
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SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. In Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021 , Alex Smola, Alex Dimakis, and Ion Stoica (Eds.). mlsys.org
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