离群点检测技术综述

为了深入了解离群点检测技术发展状况，对近年离群点检测技术进行综述，首先介绍与总结了离群点的定义、引起离群的原因和离群点挖掘算法的分类；其次，对基于邻近性的离群点检测算法、分布式架构下的离群点检测算法以及基于深度学习的离群点检测算法进行综述与总结，尤其对该领域目前最有代表性的方法进行了探讨，指出了其优缺点；最后展望了离群点检测技术未来的研究方向。

Overview of outlier detection technology

In order to understand the development of outlier detection technique detailly, this paper overviewed the outlier detection techniques in recent years. Firstly, it introduced and summarized the definition of outliers, the causes of outlier and classification of the outlier mining algorithms. Next, it overviewed outlier detection methods based on neighbor, based on distributed framework and based on deep learning. Especially, it discussed the most representative methods in outlier detection, and pointed out the merits and drawbacks. In the end, this paper concluded and discussed the future direction of outlier detection techniques.