PERFORMANCE COMPARISON FOR GEOGRAPHICALLY DISTINCT DATASETS FOR HEART DISEASE

Authors

  • R.KARTHIKEYAN Assistant Professor, Department of Computer Science and Engineering. Bharath University, Selaiyur, Chennai-600073, India
  • A.KUMARAVEL Professor and Dean, Department of Computer Science and Engineering.Bharath University, Selaiyur, Chennai-600073, India,
  • A.CHANDRA SEKAR Professor,Department of Computer Science and Engineering. St.Joseph College of Engineering, Chennai, India,

Keywords:

Heart disease data sets decision trees, decision rules, Meta classifiers, Bayes classifiers.

Abstract

Mining the data sets of different sizes or different regions many times will not yield expected maximum accuracy. Hence the data size becomes an important parameter for mining exercises. In this paper, we consider data from two different geographical regions and calculate separate performance measures. Also, we get the same for integrated data set obtained by the union of the original sets as inverse results establishing the hypothesis for integrated data set.

Downloads

Published

31.03.2015

How to Cite

R.KARTHIKEYAN, A.KUMARAVEL, & A.CHANDRA SEKAR. (2015). PERFORMANCE COMPARISON FOR GEOGRAPHICALLY DISTINCT DATASETS FOR HEART DISEASE. International Journal of Pharma and Bio Sciences, 6(1), 177–187. Retrieved from https://ijpbs.net/index.php/journal/article/view/3976

Issue

Volume 6, Issue 1, 2015

Section

Research Articles

Categories

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.