A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Useless and noise information occupies large amount of big data, which increases our difficulty to extract worthy information. Therefore outlier detection attracts much attention recently, but if two points are far from other points but are relatively close to each other, they are less likely to be detected as outliers because of their adjacency to each other. In this situation, outliers are hidden by each other. In this paper, we propose a new perspective of hidden outlier. Experimentaldoi:10.1155/2016/8048246 fatcat:w4ink4ezhvhx3molut7mktevji