Demetris Tsaptsinos
Kingston University, School of Mathematics, Penhryn Road, Kingston-upon-Thames, Surrey KT1 2EE, UK
Abstract
In this contribution the basic concepts of rough sets and ID3 using a tutorial-style example are introduced and next the use of the methods for machine learning in the field of hepatitis is addressed. The hepatitis data contains information about 80 patients, expressed using 20 attributes: 19 attributes provide laboratory and clinical examination information and the last attribute defines a binary classification of the patient. The generated results take the form of if...then rules and a brief comparison is given. Finally, the use of rough sets for attribute elimination is introduced.