Research Article
Outliers Detection using Subspace Method: A Survey
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 112 - Issue 16 |
| Published: February 2015 |
| Authors: Supriya Garule, Sharmila.M.Shinde |
10.5120/19751-1580
|
Supriya Garule, Sharmila.M.Shinde . Outliers Detection using Subspace Method: A Survey. International Journal of Computer Applications. 112, 16 (February 2015), 20-22. DOI=10.5120/19751-1580
@article{ 10.5120/19751-1580,
author = { Supriya Garule,Sharmila.M.Shinde },
title = { Outliers Detection using Subspace Method: A Survey },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 112 },
number = { 16 },
pages = { 20-22 },
doi = { 10.5120/19751-1580 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Supriya Garule
%A Sharmila.M.Shinde
%T Outliers Detection using Subspace Method: A Survey%T
%J International Journal of Computer Applications
%V 112
%N 16
%P 20-22
%R 10.5120/19751-1580
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Outliers detection is currently very active area of research in data set mining community. Outliers detection is an important research problem that aims to find objects that are considerably dissimilar, exceptional and inconsistent in the database. In this paper, we present a survey of outliers detection techniques using subspace method. The survey will not only cover the high dimensional datasets but also review the more recent developments that deal with more complex outliers detection problems in high-dimensional dataset.
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