Water Quality Analysis Using Multiple Linear Regression

被引:0
|
作者
Shah, Nishil [1 ]
Tiwari, Srishti [1 ]
Vashishtha, Vidushi [1 ]
机构
[1] VIT Univ, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India
关键词
Multiple linear regressions; Water Quality; Drinking Purpose; Data Mining;
D O I
暂无
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Water quality discusses about characteristics of water which include physical, biological and radiological characteristics. As the industries are growing up more and more its adverse effect can be seen in water since, most toxic pollutants-human waste are discharged from industries and homes into the water system resulting in higher amount of water quality degradation. So, to overcome this issue we have presented a data mining technique called as "multiple linear regression" to check whether the water is good for drinking or not. This analysis is conducted over the dataset obtained from the water sources of Vellore district.
引用
收藏
页码:915 / 921
页数:7
相关论文
共 50 条