TY - GEN

T1 - Similarity measures for categorical data

T2 - 8th SIAM International Conference on Data Mining 2008, Applied Mathematics 130

AU - Boriah, Shyam

AU - Chandola, Varun

AU - Kumar, Vipin

PY - 2008

Y1 - 2008

N2 - Measuring similarity or distance between two entities is a key step for several data mining and knowledge discovery tasks. The notion of similarity for continuous data is relatively well-understood, but for categorical data, the similarity computation is not straightforward. Several data-driven similarity measures have been proposed in the literature to compute the similarity between two categorical data instances but their relative performance has not been evaluated. In this paper we study the performance of a variety of similarity measures in the context of a specific data mining task: outlier detection. Results on a variety of data sets show that while no one measure dominates others for all types of problems, some measures are able to have consistently high performance.

AB - Measuring similarity or distance between two entities is a key step for several data mining and knowledge discovery tasks. The notion of similarity for continuous data is relatively well-understood, but for categorical data, the similarity computation is not straightforward. Several data-driven similarity measures have been proposed in the literature to compute the similarity between two categorical data instances but their relative performance has not been evaluated. In this paper we study the performance of a variety of similarity measures in the context of a specific data mining task: outlier detection. Results on a variety of data sets show that while no one measure dominates others for all types of problems, some measures are able to have consistently high performance.

UR - http://www.scopus.com/inward/record.url?scp=52649136576&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=52649136576&partnerID=8YFLogxK

U2 - 10.1137/1.9781611972788.22

DO - 10.1137/1.9781611972788.22

M3 - Conference contribution

AN - SCOPUS:52649136576

SN - 9781605603179

T3 - Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130

SP - 243

EP - 254

BT - Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130

PB - Society for Industrial and Applied Mathematics Publications

Y2 - 24 April 2008 through 26 April 2008

ER -