HOT: hypergraph-based outlier test for categorical data
Wei Li, Weining Qian, Aoying Zhou, Wen Jin, Jeffrey Xu Yu · 2003
As a widely used data mining technique, outlier detection is a process which aims to find anomalies with good explanations. Most existing methods are designed for numeric data. However, they will meet problems in real-life applications, which always contain categorical data.