An ensemble model for Heart disease data sets
Author:
Affiliation:
1. Information Systems Dept., British University in Egypt, Cairo, Egypt
2. Computer Science Dept., British University in Egypt, Cairo, Egypt
Publisher
ACM Press
Reference22 articles.
1. Dazeley R, Yearwood J, Kang B, et al. 2010. Consensus clustering and supervised classification for profiling phishing emails in internet commerce security. In: Knowledge management and acquisition for smart systems and services, 6232, Kang BH, Richards D, PKAW 2010, pp. 235--246.
2. Kang B, Kelarev A, Sale A, et al. 2006. A new model for classifying DNA code inspired by neural networks and F SA. In: Advances in Knowledge Acquisition and Management, 4303, Byeong K, Andrei K, Arthur S, 2006, pp. 187--198.
3. M. Skurichina and R. P. W. Duin. 2002. Bagging, Boosting and the Random Subspace Method for Linear Classifiers. Pattern Anal. Appl., vol. 5, no. 2, pp. 121--135, 2002.
4. G. Sujatha and K. U. Rani, 2013. An Experimental Study on Ensemble of Decision Tree Classifiers. vol. 2, no. 8, pp. 300--306, 2013.
5. R. D.Kulkarni. 2014. Using Ensemble Methods for Improving Classification of the KDD CUP '99 Data Set. IOSR J. Comput. Eng., vol. 16, no. 5, pp. 57--61, 2014.
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