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An Effective Genetic Algorithm for Outlier Detection

by P.Vishnu Raja, Dr.V.Murali Bhaskaran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 6
Year of Publication: 2012
Authors: P.Vishnu Raja, Dr.V.Murali Bhaskaran
10.5120/4694-6836

P.Vishnu Raja, Dr.V.Murali Bhaskaran . An Effective Genetic Algorithm for Outlier Detection. International Journal of Computer Applications. 38, 6 ( January 2012), 30-33. DOI=10.5120/4694-6836

@article{ 10.5120/4694-6836,
author = { P.Vishnu Raja, Dr.V.Murali Bhaskaran },
title = { An Effective Genetic Algorithm for Outlier Detection },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 6 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number6/4694-6836/ },
doi = { 10.5120/4694-6836 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:52.658418+05:30
%A P.Vishnu Raja
%A Dr.V.Murali Bhaskaran
%T An Effective Genetic Algorithm for Outlier Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 6
%P 30-33
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main objective the outlier detection is to find the data that are exceptional from other data in the data set. Detection of such exceptional data’s is an important issue in many fields like fraud detection, Intrusion detection and Medicine . In this paper we are proposing an algorithm to detect outliers using genetic algorithm. The proposed method was exceptionally accurate in identifying the outliers the datasets that we have tested. The result analysis is done on some standard dataset to view accuracy of the algorithm.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Outliers Genetic algorithm Anomalies Exceptional objects Optimization.

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