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Survey on Outlier Detection in Data Mining

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 67 - Number 19
Year of Publication: 2013
Authors:
Janpreet Singh
Shruti Aggarwal
10.5120/11506-7223

Janpreet Singh and Shruti Aggarwal. Article: Survey on Outlier Detection in Data Mining. International Journal of Computer Applications 67(19):29-32, April 2013. Full text available. BibTeX

@article{key:article,
	author = {Janpreet Singh and Shruti Aggarwal},
	title = {Article: Survey on Outlier Detection in Data Mining},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {67},
	number = {19},
	pages = {29-32},
	month = {April},
	note = {Full text available}
}

Abstract

Data Mining is used to extract useful information from a collection of databases or data warehouses. In recent years, Data Mining has become an important field. This paper has surveyed upon data mining and its various techniques that are used to extract useful information such as clustering, and has also surveyed the techniques that are used to detect the outliers. This paper also presents various techniques used by different researchers to detect outliers and present the efficient result to the user.

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