Abstract
Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. We have used data mining to analyze the existing trends in air pollution in Delhi and make prediction about the future. The data mining techniques used are linear regression and multilayer perceptron. We have seen the trends of various air pollutants like sulphur dioxide(SO 2 ), nitrogen dioxide (NO 2 ), particulate matter (PM), carbon monoxide (CO), ozone (O 3 ). By using the above techniques we have observed that there will be an increase in amount of PM 10 by 45.9% in coming years. However amount of CO and NO2 may show slight increase due to increasing number of 2 wheelers on road. The other pollutants like SO 2 may show decrease due to usage of non sulphur fuel and stringent pollution control measures.
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