Publication

Abstract :

Data mining is the process of extracting hidden information from large databases. Rule induction is the most common data mining technique. Dimensionality reduction gives an optimal subset according to an objective function. Rule generation is one of the important processes in the knowledge discovery system. Rough set approach of generating rules can be used to increase the correct predictions by identifying and removing redundant variables. In this paper we emphasize the role of Reducts, Core and their approximations. Data from UCI repository have been taken to exhibit rules for soybean data set by using ROSETTA.