Data Mining Case Study for Water Quality Prediction using R Tool

Authors(3) :-S. Pavithra Devi, S. Jothi, A. Devi

Water pollution has a duel effect on nature. It has negative effects on the living and also on the environment. The effects of pollution on human beings and aquatic communities are many and varied. Water pollution causes approximately 14,000 deaths per day, mostly due to contamination of drinking water by untreated sewage in developing countries. Human activities including industrialization and agricultural practices contributed immensely in no small measure to the degradation and pollution of the environment which adversely has an effect on the water bodies (rivers and ocean) that is a necessity for life. Pollution is the introduction of a contamination into the environment. It is created by industrial and commercial waster, agricultural practices, everyday human activities and most notably, models of transportation. This paper tries to discuss basically what water pollution is and equally to address the source, effect control and water pollution management as a whole. Some recommendations such as introduction of environmental education were mentioned.

Authors and Affiliations

S. Pavithra Devi
M. Sc. (CS&IT), Jayaraj Annapackiam College for Women, Periyakulam, Tamil Nadu, India
S. Jothi
Assistant Professor of Computer Science, Jayaraj Annapackiam College for Women, Periyakulam, Tamil Nadu, India
A. Devi
Assistant Professor of Computer Science, Jayaraj Annapackiam College for Women, Periyakulam, Tamil Nadu, India

Pollution, Contamination, Water recycling, Dengue, Maleria and Chicenguniya

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 805-809
Manuscript Number : CSEIT1831215
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Pavithra Devi, S. Jothi, A. Devi, "Data Mining Case Study for 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 1, pp.805-809, January-February-2018. |          | BibTeX | RIS | CSV

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