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Ranking with Distance based Outlier Detection Techniques: A Survey

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 6
Year of Publication: 2014
Authors:
Jitendra R. Chandvanya
Rajanikanth Aluvalu
10.5120/15505-4207

Jitendra R Chandvanya and Rajanikanth Aluvalu. Article: Ranking with Distance based Outlier Detection Techniques: A Survey. International Journal of Computer Applications 89(6):8-11, March 2014. Full text available. BibTeX

@article{key:article,
	author = {Jitendra R. Chandvanya and Rajanikanth Aluvalu},
	title = {Article: Ranking with Distance based Outlier Detection Techniques: A Survey},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {6},
	pages = {8-11},
	month = {March},
	note = {Full text available}
}

Abstract

Outlier Detection is very much popular in Data Mining field and it is an active research area due to its various applications like fraud detection, network sensor, email spam, stock market analysis, and intrusion detection and also in data cleaning. Here we will study some outlier detection technique which are mainly based on distance-based outlier detection with ranking approach and give some idea about the new technique which we will implement in future.

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