%0 Journal Article
%A XIAO   Kai
%A WEI   Fei
%A PENG  Chang-Shui
%T Application of R Language Based Data Mining in Water Environment Management
%D 2012
%R 10.3969/j.issn.1001-5485.2012.09.021
%J Journal of Yangtze River Scientific Research Institute
%P 91-94
%V 29
%N 9
%X The authors analyzed the model of harmful algal blooms in the river on the basis of classification regression tree (CART) algorithm of data mining. Results indicated that phosphate, chloride and the maximum pH values are key factors of algae generation. Furthermore, we employed the R language to validate the superiority and convenience of using CART algorithm. The conclusions and methods could contribute to a more effective water quality monitoring and forecasting.
%U http://ckyyb.crsri.cn/EN/10.3969/j.issn.1001-5485.2012.09.021