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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary
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1. Han, j. And M. Kamber, Data Mining Concepts, and Techniques. 2006: Morgan Kaufmann Publishers. 2. Lee, I.-N., S.-C. Liao, and M. Embrechts, Data mining techniques applied to medical information. Med. inform, 2000. 2. Obenshain, M.K., Application of Data Mining Techniques to Healthcare Data. Infection Control and Hospital Epidemiology, 2004. 3. Sandhya, J., et al., Classification of Neurodegenerative Disorders Based on Major Risk Factors Employing Machine Learning Techniques. International Journal of Engineering and Technology, 2010. Vol.2, No.4. 4. Gaganjot Kaur, Amit Chhabra, “Improved J48 Classification Algorithm for the prediction of Diabetesâ€, International Journal of Computer Applications(0975-8887) vol.98 No.22, July 2014. 5 P. Radha, Dr. B. Srinivasan, “ Predicting Diabetes by consequencing the various Data mining Classification Techniquesâ€, International Journal of Innovative Science, Engineering & Technology, vol. 1 Issue 6, August 2014, pp. 334-339 6. Mohtaram Mohammadi, Mitra Hosseini, Hamid Tabatabaee, “Using Bayesian Network for the prediction and Diagnosis of Diabetes†, MAGNT Research Report, vol.2(5), pp.892-902. 7. Sudesh Rao, V. Arun Kumar, “Applying Data mining Technique to predict the diabetes of our future generationsâ€, ISRASE eXplore digital library, 2014. 8. Veena vijayan, Aswathy Ravikumar, “ Study of Data mining algorithms for prediction and diagnosis of Diabetes Mellitusâ€, International Journal of Computer Applications (0975-8887) vol. 95-No.17, June 2014 9. Arwa Al-Rofiyee, Maram Al-Nowiser, Nasebih Al-Mufad, Dr. Mohammed Abdullah AL-Hagery, “Using Prediction Methods in Data mining for Diabetes Diagnosis'http://www.psu.edu 10. K.R Lakshmi, S.Premkumar, “ Utilization of Data mining Techniques for prediction of Diabetes Disease survivabilityâ€, International Journal of Scientific & Engineering Research, vol.4 Issue 6, June 2013. 11. Murat Koklu and Yauz Unal, “ Analysis of a International population of Diabetic patients Databases with Classifiersâ€, International Journal of Medical,Health,Pharmaceutical and Biomedical Engineeringâ€, vol.7 No.8, 2013. 12. Rupa Bagdi, Prof. Pramod Patil,†Diagnosis of Diabetes Using OLAP and Data Mining Integrationâ€, International Journal of Computer Science & Communication Networks,Vol 2(3), pp. 314-322. 13. Ashwinkumar.U.M and Dr. Anandakumar K.R, “Predicting Early Detection of cardiac and Diabetes symptoms using Data mining techniquesâ€, International conference on computer Design and Engineering, vol.49, 2012. 14. S. Sapna, Dr. A. Tamilarasi and M. Pravin Kumar, “Implementation of Genetic Algorithm in predicting Diabetesâ€, International Journal of computer science, vol.9 Issue 1, No.3, January 2012. 15. Manaswini pradhan, Dr. Ranjit kumar sahu, “ predict the onset of diabetes disease using Artificial Neural Networkâ€, “ International Journal of Computer Science & Emerging Technologies, vol.2 Issue 2, April 2011. 16. Muhammad Waqar Aslam and Asoke Kumar Nandi, “Detection of Diabetes using Genetic Programmingâ€, European Signal Processing Conference (EUSIPCO-2010), ISSN 2076-1465. 17. Huy Nguyen Anh Pham and Evangelos Triantaphyllou, “ Prediction of Diabetes by Employing New Data mining approach which balances Fitting and Generalization Springer 2008.
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