1Department of Mathematics, Gandhigram Rural Institute-Deemed University, Gandhigram-624 302, Tamil Nadu, India.

                     2Department of Computer Science, M.V.M Government Arts College(W), Dindigul-624 001,  Tamil Nadu, India. 

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.

(Full Paper, 812KB)

Biography

THANGAVEL KUTTIANNAN, received the master degree of science from the Department of Mathematics, Bharthidasan University in 1986 and Master of Computer Applications degree from Madurai Kamaraj University, Madurai in 2001. He obtained his Ph.D degree from Gandhigram Rural Institute-Deemed University, Gandhigram, Tamilnadu, India in 1996. Currently he is working as a Professor of Computer Science, Periyar University, Salem, Tamilnadu, India. He is in teaching since 1989.  His areas of interest include Data mining, Medical Image Processing, Genetic Algorithms, Neural Network, Rough Set Theory, Machine Learning and Artificial Intelligence. ktvel@rediffmail.com

PETHALAKASHMI ANNAMALAI, received the Master of Computer Science degree from Alagappa University, Tamil Nadu, India, in 1988 and the Master of Philosophy in Computer Science from Mother Teresa Women’s University, Tamil Nadu, India, in 2000. She is   working as Selection Grade Lecturer, Department of Computer Science, M.V.M. Govt. Arts College (w), Dindigul, Tamil Nadu, India, and currently she is the full-time research scholar in the Department of Computer Science, Mother Teresa Women’s University, Tamil Nadu, India. She is in teaching since 1989.  Her areas of interest include  Data mining, Fuzzy Logic, Rough Set Theory and Neural Network.

BibTex:

@ARTICLE{P1120543003,

AUTHOR = {K.ThangavelP and A. PethalakshmiP},

TITLE = {Feature Selection for Medical Database Using Rough System},

}

(Full Paper, 812KB)