Showing posts with label MapReduce. Show all posts
Showing posts with label MapReduce. Show all posts

Wednesday, 12 January 2022

Cluster Based MapReduce Technique for Predicting Heart Disease -: A Modelling Approach | Chapter 11 | Recent Advances in Mathematical Research and Computer Science Vol. 6

 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

Tuesday, 1 September 2020

An Experimental Implementation of Map Reduce on the Hadoop for Analyzing Big Data | Chapter 7 | Theory and Practice of Mathematics and Computer Science Vol. 1

 

The Speedy development of Internet has led to huge quantities of digital data available online and vast capacity

of digital data is increasing and successfully stored. In demand to the process, analyzed, and linked huge volume

of stored data to achieve correct Information, some computation is required. Even efficient processing and

implementation is needed for scientific data performance analysis. The already existing MapReduce Technique

had been compared with Hadoop to afford high performance and efficiency for large volume of dataset. Hadoop

distributed architecture with MapReduce programming is analysis here.

Author (s) Details

Gul Shaira Banu Jahangeer

Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, India, Srivilliputhur, Tamil Nadu, India.

T. Dhiliphan Rajkumar

Faculty of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Tamilnadu, India.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/237