Outlier detection in mixed-attribute data: a semi-supervised approach with fuzzy approximations and relative entropy

Baiyang Chen, Zhong Yuan, Zheng Liu +4

Outlier detection is a critical task in data mining, aimed at identifying objects that significantly deviate from the norm. Semi-supervised methods improve detection performance by…