Interactive Outlier Detection Adaptive to Users' Intentions

摘要

Detecting outliers is an important, but tricky problem, since the preference of outlier-ness often depends on the user and/or the dataset. We have developed a system of detecting outliers that match users' intentions implied by outlier examples in prior work. In this paper, we propose a new refined method of interactive outlier detection adaptive to users'intentions.