Paper Details: Downloads: 508
Serial Number: P1120543003
Title: Feature Selection for Medical Database Using Rough System
Authors: K.Thangavel and A. PethalakshmiP
Abstract: Rough Sets theory provides a new mathematical tool to deal with uncertainty and vagueness of an information system in Datamining. The information system may contain a certain amount of redundancy that will not aid knowledge discovery and may in fact mislead the process. The redundant attributes may be eliminated in order to generate the reduct set (i.e., reduced set of necessary attributes) or to construct the core of the attribute set. This paper proposes Improved Quickreduct Algorithm to select the features from the information system. The experiments are carried out on medical data sets of UCI machine learning repository and the real HIV data set.
Keywords: Rough sets, Feature selection, Quickreduct, Datamining.
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 6
Issue: 1
Submission Date: 10/1/2005 12:00:00 AM
Review Date: 11/1/2005 12:00:00 AM
Publishing Date: 1/1/2006 12:00:00 AM
Article Downloads: 508
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