Balakrishnan S

Department of Physics

School of Advanced Sciences

Vellore Campus

Narayanaswamy R

Savarimuthu N

Samikannu R.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

SVM ranking with backward search for feature selection in type II diabetes databases

2008 IEEE International Conference on Systems, Man and Cybernetics

Fulltext

Indian Journal of Science and Technology

A Study on Impact of Dimensionality Reduction on Naïve Bayes Classifier

Medical databases contain massive volume of clinical data which could provide valuable information regarding diagnosis, prognosis and treatment plan when mining algorithms are used in appropriate manner. The irrelevant, redundant and incomplete data in medical databases makes the extraction of useful pattern a difficult process. Feature selection, a robust data preprocessing method selects attributes that enhances the predictive accuracy of classification algorithms. Consistency subset evaluation with best first search approach selects a feature subset of consistence equal to that of full feature set. The optimal feature subset selected is classified using Modlem, a rough set based rule-induction algorithm. The performance of the classification algorithms are evaluated in terms of three metrics viz, Accuracy, Sensitivity and Specificity. © 2014 IEEE.

2014 World Congress on Computing and Communication Technologies

An Empirical Study on the Performance of Rule-Based Classification by Feature Selection

Statistical Pattern Recognition

Introduction to Statistical Pattern Recognition

Data Mining: Practical Machine Learning Tools and Techniques

Implementations

10th International Conference on Information Technology (ICIT 2007)

Medical Datamining with a New Algorithm for Feature Selection and Naive Bayesian Classifier

Journal of Classification

R.O. Duda, P.E. Hart, and D.G. Stork, Pattern Classification, New York: John Wiley & Sons, 2001, pp. xx + 654, ISBN: 0-471-05669-3

Journal of the Operational Research Society

Data mining feature selection for credit scoring models

Journal	Data powered by Typeset2008 IEEE International Conference on Systems, Man and Cybernetics
Publisher	Data powered by TypesetIEEE
ISSN	1062-922X
Open Access	0