计算机与数字工程2017，Vol.45Issue(6)：1045-1048,4.DOI:10.3969/j.issn.1672-9722.2017.06.007
离群点检测算法研究
Research on Algorithms for Outlier Detection
摘要
Abstract
Outlier detection as an important item of data mining has been used in many areas thus caused wide public concern. This paper introduces traditional classification of outlier detection algorithm,aiming at the problem that traditional algorithm is not suitable for new data models,the paper firstly discusses the outlier detection methods of high-dimensional data detailed,and points out outlier ensembles for solving the problems associated with high-dimensional data. Secondly,outlier detection algorithms of un?certain data and data streams are described,and finally the evaluation of the outlier detection methods are discussed,and the direc?tion for further research is pointed out.关键词
高维数据/离群检测/不确定数据/数据流Key words
high-dimensional data/outlier detection/uncertain data/data streams分类
信息技术与安全科学引用本文复制引用
李俊丽,芦彩林..离群点检测算法研究[J].计算机与数字工程,2017,45(6):1045-1048,4.基金项目
国家青年科学基金项目(编号:61602335)资助. （编号:61602335）
