The process of classifying data components using class labels is known as classification. It is the technique of guided learning. It's also the process of identifying the model that explains and differentiates data types and their values. MapReduce is a programming paradigm that allows you to execute distributed computation on a computer cluster. The user application spawns a Master controller process and a succession of Map and Reduce jobs in a MapReduce system like Hadoop. The prediction system for heart disease is described in this study, which is based on the MapReduce approach with Relief feature selection and semi-naive Bayes Classification Algorithms.
Author(S) Details
J. Sukanya
Department of Computer Science, M. V. Muthiah Government Arts College for Women, Dindigul, Tamil Nadu, India.
K. Rajiv Gandhi
Department of Computer Science, Alagappa University Model Constituent College of Arts and Science, Paramakudi, Tamil Nadu, India.
V. Palanisamy
Department of Computer Applications, Alagappa University, Karaikudi, Tamil Nadu, India.
View Book:- https://stm.bookpi.org/RAMRCS-V6/article/view/5314
No comments:
Post a Comment