International Journal of Soft Computing

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Reduct Based Decision Tree (RDT)

Ramadevi Yellasiri , C.R. Rao , Hari RamaKrishna and T. Prathima
Page: 321-325 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

New approaches to compute predominant attributes (referred as reduct) are discussed in this study. Rough Sets concepts and ‘val’ theory are adopted in this process. Procedure to construct a decision tree using these reduct is presented. These trees are referred as Reduct based Decision Tree (RDT). Decision rules for these RDTs are generated. ‘Kappa statistics’ was used to prove the efficiency of this model which is supported by K-fold test.

How to cite this article:

Ramadevi Yellasiri , C.R. Rao , Hari RamaKrishna and T. Prathima . Reduct Based Decision Tree (RDT).
DOI: https://doi.org/10.36478/ijscomp.2008.321.325
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2008.321.325