Human-in-the-loop Outlier Detection
Outlier detection is critical to a large number of applications from finance fraud detection to health care. Although numerous approaches have been proposed to automatically detect outliers, such outliers detected based on statistical rarity do not necessarily correspond to the true outliers to the...
Main Authors: | , , , , , |
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Other Authors: | |
Format: | Article |
Published: |
Association for Computing Machinery (ACM)
2022
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Online Access: | https://hdl.handle.net/1721.1/130072.2 |