Water consumption analysis system based on data mining

As knowledge discovery in databases, data mining means a process of extraction potentially useful information from data in databases, which can be applied to information management, query processing, decision making, process control etc. Those are urgently needed to improve efficient management in water supply industry, since water has been recognized by governments worldwide as a scarce resource. In response to such demand, this paper proposes a software application, which designed to accessing to database, operating the data mining, and output the results and charts. We analyzed the different prediction models and designed the water consumption system, which has two functions of analysis of possible correlations between the water consumption and nature of the industry and prediction on future water consumption. As the system built, the paper provides samples and produces the results and analysis.