Based On Data Mining Technologies In Urban Water Supply Analysis And Decision

In the current environment, promote environmental conservation, low-power low-carbon life, to save resources as an important social issue, is to the situation of urban water supply as the research object, the subtropical Guangdong Province, most of the subtropical monsoon climate, long summer and winter, rainfall, is a typical medium-sized cities, the study has some practical value.According to the relevant water supply and other parameters, production scheduling future production plans, through the use of a computer data mining method, the total amount of future water supply and water supply of water districts to make scientific forecasts, improve production efficiency through the reduction of energy consumption, production and marketing plans to set reasonable, a reasonable solution to this issue of practical significance.This article is based on the data to its own characteristics, from the standpoint of data analysis more than forecast, the actual situation of different adjustments, the use of simple prediction algorithms to the complexity of modern algorithms and predictive effect on the situation is complex but has a certain law data processing and prediction of a certain reference value.