Cancer data investigation using variable precision Rough set with flexible classification

Authors:
Sanjiban Sekhar Roy;Anupam Gupta;Anvesha Sinha;Rohit Ramesh
Affiliations:
VIT University, Vellore;VIT University, Vellore;VIT University, Vellore;VIT University, Vellore
Venue:
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Year:
2012

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Abstract

The theory of Rough set is a new mathematical tool to deal with intelligent data mining proposed by Z Pawlak. This paper implements the concept of tolerance relation on incomplete information system using variable precision rough set(VPRS) with flexible classification, which is an extension to the classical rough set theory. Here we have analyzed a cancer data set provided by national cancer institute from (1975-2008) and estimated the value of tolerance factor for each country people based on their age, using VPRS with flexible classification model.