期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：6
页码：6299-6306
出版社：IJECS
摘要：Data Mining is the set of activities used to find new, hidden, or unexpected patterns in data. Many organizations are now usingthese data mining techniques. Research in data mining continues growing in business and in learning organization overcoming decades. Data mining methods may be classified by the function they perform or by their class of applications. Usingthis approach, four major categories of processing algorithms and rule approaches emerge: 1) Classification, 2) Association,3) Sequence and 4) Cluster. This paper explores various data mining techniques like Artificial Neural Network, Backpropagation, MLP, GRNN, Decision Tree etc. used in prediction of water quality. This survey focuses on how data miningtechniques are used for water quality Prediction is analyzed.
