Open AccessApplication of Feature Weighting for the Intensification of Data Classification
Author(s) -
J. Arunadevi,
K. Ganeshamoorthi,
R. S. Rampriya,
M. Phil Scholar,
R Ganeshamoorthi
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1138.1292s219
Subject(s) - weighting , feature (linguistics) , artificial intelligence , computer science , random subspace method , pattern recognition (psychology) , machine learning , data mining , classifier (uml) , medicine , philosophy , linguistics , radiology
Classification is the supervised learning technique which is applied in many of the real time applications. In this study we have considered three classifiers which are widely used and then the intensification of the classifiers are considered. Among various methods to improve the performance of the classifiers, this research concentrate on the feature weighting techniques applied for the classifiers. This analysis is done based on the results obtained from the Rapidminer tool. Here we have deployed four feature weighting techniques for the intensification of the three classifiers. It is tested with three dataset. The experimental environment and the results are discussed in detail.