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Explainable Distance-Based Outlier Detection in Data Streams
Explaining outliers is a topic that attracts a lot of interest; however existing proposals focus on the identification of the relevant dimensions. We extend this rationale for unsupervised distance-based outlier detection, and through investigating subspaces, we propose a novel labeling of outliers...
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| Main Authors: | , |
|---|---|
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
IEEE
2022-01-01
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| 叢編: | IEEE Access |
| 主題: | |
| 在線閱讀: | https://ieeexplore.ieee.org/document/9766336/ |
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