Call for Paper - May 2015 Edition
IJCA solicits original research papers for the May 2015 Edition. Last date of manuscript submission is April 20, 2015. Read More
A Comparative Study of Decision Tree and Naive Bayesian Classifiers on Medical Datasets
IJCA Proceedings on International Conference on Computing and information Technology 2013
© 2013 by IJCA Journal
IC2IT - Number 2
Year of Publication: 2013
Sheela D Jeyarani, G Anushya, Raja R Rajeswari and A Pethalakshmi. Article: A Comparative Study of Decision Tree and Naive Bayesian Classifiers on Medical Datasets. IJCA Proceedings on International Conference on Computing and information Technology 2013 IC2IT(2):5-7, December 2013. Full text available. BibTeX
@article{key:article,
author = {D. Sheela Jeyarani and G. Anushya and R. Raja Rajeswari and A. Pethalakshmi},
title = {Article: A Comparative Study of Decision Tree and Naive Bayesian Classifiers on Medical Datasets},
journal = {IJCA Proceedings on International Conference on Computing and information Technology 2013},
year = {2013},
volume = {IC2IT},
number = {2},
pages = {5-7},
month = {December},
note = {Full text available}
}
Abstract
Data Mining is a process to discover valuable patterns from large datasets. Classification is an important data mining functionality and it employs supervised learning to predict class labels for a given sample. This research paper apprises about two important classification algorithms, Decision trees and Naive Bayesian and compares their predictive accuracy on selected medical datasets.
References
- Berry. M. J et. al, "Data Mining Techniques for Marketing, Sales and Customer Support", John Wiley of Sons Inc, USA, 1997.
- Han, Jiawei, Kamber, Micheline, "Data Mining Concepts & Techniques", Morgen Kaufmann publications, USA, 2001.
- Nitu Mathuriya, et. al, Comparison of K. means and Back propagation Data Mining Algorithms, International Journal of Computer Technology and Electronics Engineering, Volume 2 Issue 2, 2012.
- Patrick Ozer, Data Mining Algorithms for classification, B. Sc Thesis, Redbound University Nijimegan, 2008.
- 5Quinlan, J. Ross, C4. 5; Programs for Machine Learning, Morgan Kaufmann Publication, USA, 1993.
- Raj kumar et. al,Classifiction algorithms for Data Mining :A Survey,International Journl of Innovations in Engineering and Technology,Vol. 1 Issue 2 ,2012.
- Sampson Adu Poku,Comparing Classification algorithms in Data mining,M. Sc Thesis,Centrl Connecticut State University,2012.
- Veronical, S. Moetini, Towards the use of C4. 5 Algorithm for classifying Banking Data set, Integral, Vol. 8. No. 2, 2003.
- Xin dong wu et. al, "Top 10 Algorithms of Data Mining", Springs – Verlag London,2007