Review on Data Mining Techniques for Prediction of Water Quality

Abstract

Data mining is the exploration and scrutiny of large quantity of information that is able to discover meaningful and significant patterns. This paper studies various data mining techniques for prediction of water quality. This paper reviews the models and various evaluation methods that describe and distinguish the classes of water quality. Various data mining techniques like Artificial neural networks, Naïve bayes, Back propogation algorithm, KNN etc has been explored in this paper.