Andere Kunden interessierten sich auch für
![Heart Disease Data Classification using Data Mining Techniques]( "Heart Disease Data Classification using Data Mining Techniques")
Heart Disease Data Classification using Data Mining Techniques50,99 €![Intelligent Heart Disease Prediction System Using Naive Bayes]( "Intelligent Heart Disease Prediction System Using Naive Bayes")
Intelligent Heart Disease Prediction System Using Naive Bayes26,99 €![Machine Learning Approach n Heart Disease Predictions]( "Machine Learning Approach n Heart Disease Predictions")
Machine Learning Approach n Heart Disease Predictions29,99 €![Application of Machine Learning for Detection of Heart Disease]( "Application of Machine Learning for Detection of Heart Disease")
Application of Machine Learning for Detection of Heart Disease29,99 €![Predicting Telecommunication Customer Churn Using Data Mining]( "Predicting Telecommunication Customer Churn Using Data Mining")
Predicting Telecommunication Customer Churn Using Data Mining32,99 €![Data Mining Classification Algorithms For Kidney Disease Prediction]( "Data Mining Classification Algorithms For Kidney Disease Prediction")
Data Mining Classification Algorithms For Kidney Disease Prediction26,99 €![Signal Processing methods for ECG Analysis]( "Signal Processing methods for ECG Analysis")
Signal Processing methods for ECG Analysis42,99 €
Heart disease is a common cause of death for people around the world. The overall examination on reasons for death because of coronary illness has been watched that it is the real reason for death. Analysis of these issues at beginning period helps the doctors in treating it at starting stage and to enhance the patient's wellbeing. In this manner the need to treat coronary illness that is found in individuals which precise entangled issues, if overlooked at beginning time. Different Data Mining Techniques can be used to analyze heart related issues. The essential point is an analysis of the Data Mining technique which is generally exact. There are different types of Data Mining Techniques such as Decision Tree, Naïve Bayesian, Support Vector Machine (SVM), K-NN classifier, Hybrid Approach, Artificial Neural Network ANN). In this book, we analyze different classification algorithms.