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...

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Bibliographic Details
Main Authors: Chai, Chengliang, Cao, Lei, Li, Guoliang, Li, Jian, Luo, Yuyu, Madden, Samuel R
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Published: Association for Computing Machinery (ACM) 2022
Online Access:https://hdl.handle.net/1721.1/130072.2