Ramadevi Yellasiri  , C.R. Rao  , Hari RamaKrishna  , T. Prathima  , 
    Reduct Based Decision Tree (RDT),
    International Journal of Soft Computing,
    Volume 3,Issue 4,
    2008,
    Pages 321-325,
    ISSN 1816-9503,
    ijscomp.2008.321.325,
    (https://makhillpublications.co/view-article.php?doi=ijscomp.2008.321.325)
    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.
    Keywords: Rough sets;predominant attributes;composite reduct;RDT;GPCR