OIE: An Interpretable System for Outlier Explanation and Summarization

Outlier detection is crucial for preventing financial fraud, network intrusions, and device failures. However, while existing methods excel at identifying outliers, they often fall short of providing clear and interpretable explanations. This limitation forces users to manually analyze numerous outliers, making the process both time-consuming and inefficient. Additionally, current summarization approaches often focus only on data attributes, ignoring that outliers in the same subspace may have different causes. Consequently,these methods produce broad summaries that make quick diagnosis difficult.