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Outliers Detection using Subspace Method: A Survey

by Supriya Garule, Sharmila.m.shinde
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 16
Year of Publication: 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 },
issue_date = { February 2015 },
volume = { 112 },
number = { 16 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 20-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number16/19751-1580/ },
doi = { 10.5120/19751-1580 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:49:39.337865+05:30
%A Supriya Garule
%A Sharmila.m.shinde
%T Outliers Detection using Subspace Method: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 16
%P 20-22
%D 2015
%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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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Outliers Detection High-dimensional Datasets Subspace Outliers Ranking.

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