International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 111 | Views: 185

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 4, April 2013 | Rating: 6.3 / 10

Data Mining: Finding Outliers from Different Types of Data using Dissimilarity Data Structure

L. Sunitha | M. BalRaju | J. Sasikiran

Abstract: An Outlier is an extreme value in a data set. Using clustering techniques we can detect outliers. Outlier means values that are far away from any cluster. In this paper we tried to find out outliers from Inter-Scaled Variables, Binary Variables, Categorical and Ordinal Variables by using Dissimilarity Data Structure. All similar objects are grouped and objects which are not belonging into any cluster are considered as outliers.

Keywords: Outlier, Dissimilarity, Cluster, Inter-Scaled, Binary, Categorical

Edition: Volume 2 Issue 4, April 2013,

Pages: 292 - 295

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