Research on Algorithms for Outlier Detection
LI Junli
LU Cailin
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.
Keywords：high-dimensional dataoutlier detectionuncertain datadata streams
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 1045-1048 )