An Efficient Expert System For Diabetes By Naïve Bayesian Classifier
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 4, Issue 10
Abstract
In this paper we are proposing an efficient decision support system for Diabetes Disease, apart from the traditional simple support vector machine. We are proposing an efficient two level approach for classifying data. In initial phase we extract optimal feature set from the training data by analyzing the optimality in the dataset, then new dataset is formed as optimal training dataset, now we apply our classification mechanism on the optimal feature set.
Authors and Affiliations
A. Ambica , Satyanarayana Gandi , Amarendra Kothalanka
Keywords
Related Articles
- EP ID EP162136
- DOI -
- Views 110
- Downloads 0
Defect Detection in Alloy Steel Surface Using Nonsubsampled Contourlet Transform
Surface defect detection of metallic surfaces is a major challenge in any manufacturing industry. In this paper, an automated system to classify alloy steel surface based on Nonsubsampled Contourlet Transform (NSCT) is p...
Development of FPGA based Human Voice Recognition System with MFCC feature
The voice recognition development on the hardware is also a challenging field due to minimal hardware resource utilization with higher accuracy demand. This paper described the FPGA based human voice recognition system....
Comparing PI controller Performance for Non Linear Process Model
This paper demonstrates the efficient method of tuning PI controller parameters by comparing different tuning rules. The method implies an analytical calculation of the controller gainܭ,Integral time ߬for a PI co...
Reduction in routing overhead in MANET using 2-ACK scheme and Novel routing Algorithm
Mobile Ad hoc Network (MANET) is a collection of mobile nodes equipped with both a wireless transmitter and a receiver that communicate with each other via bi-directional wireless links either directly or indirectl...
Multiple Lecture Video Annotation and Conducting Quiz Using Random Tree Classification
In the modern days, the institutes of education are showing more interest in the field of E-Learning or in the field of internet based educational services. The growth of video lecture annotation tools also plays an esse...