International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,April 2018,

Topic : Comparative Analysis of Outlier Detection Methods

Authors:Mahvish Fatima || Jitendra Kurmi

Abstract:This paper presents different types of outlier detection methods. There are many factors which generate outliers it can be a measurement error, instrumentation error etc. No matter whatever is the reason outliers can be identified using these methods effectively. The experiment was conducted on SPSS tool. The comparative analysis of these methods was performed successfully. The aim of this paper was to analyze the methods of outlier detection from the research point of view. Furthermore, we find out the impact of different methods on the dataset containing outliers..

Keywords: Box and Plot, MADe, Outliers, Z-Score

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DOI: 01.1617/vol5/iss4/pid13068


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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