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Outlier Detection for Business Intelligence using Data Mining Techniques

by Mohiuddin Ali Khan, Sateesh Kumar Pradhan, M. A. Khaleel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 2
Year of Publication: 2014
Authors: Mohiuddin Ali Khan, Sateesh Kumar Pradhan, M. A. Khaleel
10.5120/18493-9555

Mohiuddin Ali Khan, Sateesh Kumar Pradhan, M. A. Khaleel . Outlier Detection for Business Intelligence using Data Mining Techniques. International Journal of Computer Applications. 106, 2 ( November 2014), 28-31. DOI=10.5120/18493-9555

@article{ 10.5120/18493-9555,
author = { Mohiuddin Ali Khan, Sateesh Kumar Pradhan, M. A. Khaleel },
title = { Outlier Detection for Business Intelligence using Data Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 2 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 28-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number2/18493-9555/ },
doi = { 10.5120/18493-9555 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:20.067831+05:30
%A Mohiuddin Ali Khan
%A Sateesh Kumar Pradhan
%A M. A. Khaleel
%T Outlier Detection for Business Intelligence using Data Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 2
%P 28-31
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we have made a review of various outlier detection techniques from data mining perspective. Existing studies in data mining focus generally on finding patterns from large datasets and using it for organizational decision making. However, finding exceptions and outliers did not receive much attention in the data mining field as other topics received. Finally, this paper concludes some advances in outlier detection recently.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Outlier Business Intelligence Architecture.

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