LDC-mine:algorithm for mining outlier based on local deviation coefficient
LDC-mine——基于局部偏差系数的孤立点挖掘算法

Outlier detection has always been a hot research field in Knowledge Discovery in Databases(KDD).Finding the rare abnormal behaviors or the outliers can be more interesting than finding the common patterns like credit card fraud,intrusion detection,etc.This paper provided a new Local deviation coefficient(LDC) factor and an algorithm for mining outlier based LDC-mine.The experiment shows that LDC-mine has higher efficiency of detecting outliers.