Application of CART decision tree data mining to determine the most effective drinking water quality factors (case study: Kazeroon plain, Fars province)

Application of CART decision tree data mining to determine the most effective drinking water quality factors (case study: Kazeroon plain, Fars province)

Background and Objective: Determination of quality parameters of drinkable water is important, especially in developing countries, to increase the productivity and better management and planning of water resources. The aim of current study was to apply CART decision tree data mining technique to det...

Full description

Bibliographic Details
Main Authors: SM Soleimanpour, SH Mesbah, B Hedayati
Format: Article
Language:fas
Published: Tehran University of Medical Sciences 2018-06-01
Series:سلامت و محیط
Subjects:
drinking water
data mining
decision tree
kazeroon plain
water quality
Online Access:http://ijhe.tums.ac.ir/article-1-5881-en.html

Internet

http://ijhe.tums.ac.ir/article-1-5881-en.html

Similar Items