DIABETES DATA ANALYSIS USING MAPREDUCE AND CLASSIFICATION TECHNIQUES

M. Ashok Kumar, Dr. I. Laurence Aroquiaraj

Abstract


Data mining techniques can be applied to extract valuable knowledge from data repositories, e.g. through clustering, classification or association rule mining. Mapreduce is a programming technique which is suitable for analyzing large data sets that otherwise cannot fit in your computer's memory. The research hopes to propose a quicker and more efficient technique of diagnosing the disease, leading to timely treatment of the patients. After mapreduce the classification techniques such as KNN and SVM are applied. The performance of classification techniques are analyzed and interpreted.

Keywords


Classification, MapReduce, KNN, SVM

Full Text:

PDF


DOI: https://doi.org/10.26483/ijarcs.v9i0.5610

Refbacks

  • There are currently no refbacks.




Copyright (c) 2018 International Journal of Advanced Research in Computer Science