DIAGNOSING DIABETES USING DATA MINING TECHNIQUES
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 11)Publication Date: 2015-11-30
Authors : Srideivanai Nagarajan; RM. Chandrasekaran;
Page : 573-579
Keywords : Data Mining; Diagnosing Diabetes; Supervised Machine Learning; Naïve Bayes; SVM; Ada Boost; Bagging; Decision Tree and Simple Cart; PDC.;
Abstract
Http://www.ijesrt.com/issues%20pdf%20file/Archives-2015/November-2015/94_DIAGNOSING%20DIABETES%20USING%20DATA%20MINING%20TECHNIQUES.pdf
Other Latest Articles
- REALIZATION OF THERMOELECTRIC GENERATOR USING A PELTIER CHIP
- EXPERIMENTAL STUDY ON THE FLEXURAL BEHAVIOR OF E-WASTE PLASTICS IN CONCRETE
- REVIEW ON “POKA-YOKE: TECHNIQUE TO PREVENT DEFECTS”
- STRUCTURAL, OPTICAL AND PHOTOCONDUCTIVITY CHARACTERISTICS OF SnO2-ZnS NANOCOMPOSITE SYNTHESIZED BY A HYDROTHERMAL METHOD
- EFFECT OF DILATION OF COAL BLEND ON PUSH FORCE AND COKE QUALITY IN STAMP CHARGED COKE MAKING PROCESS
Last modified: 2015-11-29 17:13:32