Implementing decision tree in air pollution reduction framework

Abstract

Air pollution, which is one of the biggest threats to the civilization, refers to the contaminated air. It happens due to occurrence of harmful gases, dust, and smoke into the atmosphere which is vulnerable to almost every living creature. It poses serious threats to environmental and social well-being. This paper proposes a layered air pollution reduction framework through implementing the decision tree approach. The proposed framework recommends suggestive measures for reducing air pollution level with the help of an innovative rule base along with mining proper data from the massive dataset. It also discusses the experimental results based on the decision tree approach which shows the implementation of the rule base depending on the pollution level by analyzing the impact factors like holiday, festival, political gathering, etc.