A Hybrid Apporach of Classification Techniques for Predicting Diabetes using Feature Selection ijtsrd
Diabetes is predicted by classification technique. The data mining tool WEKA has been developed for implementing Support Vector Machine SVM classifier. Proposed work is framed with a specific end goal to improve the execution of models. For improving the classification accuracy Support Vector Machine is combined with Feature Selection and percentage Split. Trial results demonstrated […]
Soft Computing Techniques Based Image Classification using Support Vector Machine Performance IJTSRD
n this paper we compare different kernel had been developed for support vector machine based time series classification. Despite the better presentation of Support Vector Machine SVM on many concrete classification problems, the algorithm is not directly applicable to multi dimensional routes having different measurements. Training support vector machines SVM with indefinite kernels has just […]
A Review on Speech Feature Techniques and Classification Techniques IJTSRD
Speech Processing method is one of the important method used in application area of digital and analog signal processing. It is used in real world speech processing of human language such as human computer interface system for home, industry and medical field. It is the most common means of the communication because the information contains […]
Back Propagated K-Mean Clustering for Prediction of Slow Learners IJTSRD
The data mining is the technique to analyze the complex data. The prediction analysis is the technique which is applied to predict the data according to the input dataset. In the recent times, various techniques have been applied for the prediction analysis. In this paper, k-mean and SVM classifier based prediction analysis technique is improved […]