Prediction of Air Pollution of Boushehr City Using Data Mining

Data mining is the discovery of interesting, unexpected or valuable structures in large datasets. In this paper we use data mining technique to predict dusty days of Boushehr city as a factor of air pollution by using the data of 53 years from 1951 to 2003. We export decision rule from this data by using the air pressure, humidity and dusty days of January, February and March of each year and we describe the relation between dusty days of other future month and this first three month feature.