DEVELOPMENT OF A MODEL FOR THE ESTIMATION OF WATER TREATMENT COST: A DATA MINING APPROACH

A model based on data mining approach for the estimation of water treatment cost is presented. The model was developed using multivariable regression method based on the industrial data collected from Kaduna North water treatment plant for a period of one year. Comparison of the result from the simulation of the model and observed data shows a good prediction with a correlation coefficient of 0.9921