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An Impression TOPSIS Method in Data Mining System


R. Dharmarajan , Thanthai Hans Roever College; R.Rajeswari, Thanthai Hans Roever College


TOPSIS, Data Mining


Sampling and feature selection can be used to decrease computation time and hence minimizing intrusion detection time. This paper aims to give the overview of feature selection algorithm on the basis of The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). TOPSIS is used to suggest one or more choice(s) among some alternatives, having many attributes. TOPSIS models provide a straightforward way in which to classify data with any number of independent variables and observations. Total ten feature selection techniques have been used for the analysis of KDD network dataset. TOPSIS has received much interest from researchers and practitioners. The global interest in the TOPSIS method has exponentially grown, which we wish to document in this paper. This paper provides a literature survey on TOPSIS methodologies and applications.

Other Details

Paper ID: IJSRDV4I70272
Published in: Volume : 4, Issue : 7
Publication Date: 01/10/2016
Page(s): 1007-1009

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