Abstract
The paper contains various case studies in which techniques are applied statistically on river qualities examining database in order to find the pattern of deterioration of quality of water in rivers. If prediction of quality of water is done beforehand, the degrading quality of water can be handled easily. Here to observe the future quality of water, some of the techniques have been introduced. A dataset used for examining and analyzing the quality of water collected in one hour of time span from different Web sites includes 8451 total samples of water quality. 15 parameters which are affecting water quality in adverse manner are included in this paper.
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Singh, S., Chakraborty, S., Mukherjee, S. (2021). Water Quality Examining Using Techniques of Data Mining. In: Pandey, V.C., Pandey, P.M., Garg, S.K. (eds) Advances in Electromechanical Technologies. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-5463-6_10
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DOI: https://doi.org/10.1007/978-981-15-5463-6_10
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