• N.Indumathi
• K.Vijaykumar

Over the past years the development and urbanization in Tuticorin 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 Tuticorin and make prediction about the future. Data mining is multi-disciplinary: it covers expert systems, database technology, Statistical data, machine learning and data apparition. The data mining techniques used are linear regression and multilayer perceptions. Clinical Learning Research center is one of the leading research laboratory has stacks of records. Thus there is the motivation to see how data mining techniques might supplement the more traditional scientific analysis in formulating and testing hypotheses. Of exact awareness are the orientation of convention and neural net models. Taking into consideration, environmental data measurement has possibly to control of air pollution. In applying the KDD process for finding an objectives. are We have seen the trends of an assortment of air pollutants like suspended particulate matter(SPM), sulphur dioxide(SO2),nitrogen dioxide (NO2), carbon monoxide (CO),ozone (O3 ) . By using the above techniques we have observed that there will be an increase in amount of SPM by 42.9% in coming years. However amount of air pollutant may be increase due to increasing number of copper production . The other pollutants like SO2 may show decrease due to usage of non sulphur dioxide fuel and stringent pollution control measures.

Air Pollution, Machine Learning, Datamining Techniques, KDD Process.

"Prognosticate Trends in Air Pollution control and monitoring using Data mining for Sterlite Corporation in Tuticorin", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.753-760, July-2018, Available :http://www.jetir.org/papers/JETIR1807467.pdf

"Prognosticate Trends in Air Pollution control and monitoring using Data mining for Sterlite Corporation in Tuticorin", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp753-760, July-2018, Available at : http://www.jetir.org/papers/JETIR1807467.pdf