A Study on Ground Water Quality Prediction using R Tool

Authors(1) :-S. Vijay

Water pollution is the presence in groundwater of toxic chemicals and biological agents that exceed is naturally found in the water and may pose a threat to human health and/or the environment. Additionally, water pollution may consist of chemicals introduced into the water bodies as a result of various human activities. Any amount of those chemicals pollutes the water, regardless of the harm they may pose to human health and the environment. The objective of this paper is to assess the overall groundwater quality of the district based on Water Quality Index (WQI), and find out the factors leading to continuous deterioration in groundwater quality and to predict the water quality using different classification and clustering algorithms. The analysis of ground water dataset with various data mining techniques may yield useful outcome to the people to make correct decision for achieving and maintaining necessary level of water quality. This work is to build a quality water for people usage and as well as for drinking purposes using data mining techniques such classification and clustering to find suitable data models with high accuracy.

Authors and Affiliations

S. Vijay
Assistant Professor, Computer Science, Vivekananda College of Arts and Science for Women, Tiruchengode, Tamil Nadu India

Water Quality, Association rules, Naïve Bayes, ANN and SVM.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1177-1183
Manuscript Number : CSEIT1835265
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Vijay , "A Study on Ground Water Quality Prediction using R Tool", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.1177-1183, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1835265

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