Classification and Prediction of Diabetics using Weka and Hive Tool
| Author(s) | : | Dr.C.S.Kanimozhi Selvi, Dr.S.V.Kogilavani, Dr.S.Malliga, D.Jayaprakash |
| Institution | : | Department of Computer Science and Engineering Kongu Engineering College, Perundurai, Erode-638060, Tamilnad, India |
| Published In | : | Vol. 5, Issue 4 — April 2018 |
| Page No. | : | 105-111 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Data mining is one such field which tries to extract some interesting facts from huge data set. Since manyyears ago, the scientific community is concerned about how to increase the accuracy of different classification methods,and major achievements have been made so far. Besides this issue, the increasing amount of data that is being generatedevery day by various data logging methods raises more challenges. The objective of this project is to train historicaldiabetes data and classifies them. Classifiers like Naïve Bayes, Decision Tree, Decision Stump, K star and Random forestalgorithms are trained very efficiently in a supervised learning setting. Though the chosen dataset is small in size, tolearn the big data tools and to find the effectiveness of the tools on a small data set Hadoop and Hive is used in thispaper.
Dr.C.S.Kanimozhi Selvi, Dr.S.V.Kogilavani, Dr.S.Malliga, D.Jayaprakash, “Classification and Prediction of Diabetics using Weka and Hive Tool”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 4, pp. 105-111, April 2018.
