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Water Pollution Through SVM Classification Using Software Techniques

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-3 Issue-6
	Year of Publication : 2020
	Unique Identification Number : IJSRED-V3I6P64
	Authors : Dr.C.Brintha Malar, Dr.K.Siva Sankar
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Abstract :

This paper notifies the automated discharge location suggestion system for wastewater treatment. The quality of water is affected when more harmful substances mix up with the water and the water is not fit for consumption. Additionally, the environment is also polluted by the wastewater. The proposed automated discharge location suggestion system is based on four phases such as data pre-processing, attribute selection, statistical feature extraction and classification.The statistical features such as mean, standard deviation and variance are extracted from the data and it forms the base of the classification task. Multiclass SVM with different kernel functions are utilized for achieving the classification task and this work concludes that RBF SVM performs well than poly SVM and sigmoid SVM. .