02 May Project ProposalAir Pollution Prediction Using Data Mining Techniques
Project Proposal
Air Pollution Prediction Using Data Mining Techniques
1. Research Question:
a. Background information:
Air pollution is a very serious and growing concern as the quality of air keeps deteriorating all over the globe and this downfall in the quality will result in the increase of health-related risks. In the U.S. approximately 134 million are facing a risk of premature deaths or serious health issues due to air pollution, as per the American Lung Association [1]. There are many articles and research on air pollution daily trying to show the severity of the situation and spread the awareness among the public about the problem and its consequences. For example, an article in New York times about a research published in JAMA Psychiatry which concluded that high level of air pollution can cause mental health issues in teenagers [2].
There are many factors that cause the air pollution such as the pollution from various industrial factories, vehicle pollution, and other natural or accidental factor. According to an article in the Houston Chronicle, 48% of smog-forming nitrogen oxides came from automobiles as per the EPA figures [3].
b. Literature:
Air Pollution is major problem and therefore, there are many research literatures focused on this topic like the Brunelli et al., 2007 [4] and Mesin et al., 2010 [5]. However, the feature selection is very common which include the temperature, solar radiation, humidity, wind speed etc. A large feature selection can cause the algorithm to become specific to a particular data set. Therefore, most relevant attributes are required to be considered for prediction and increasing the accuracy, so new methods/algorithms are required to be implemented [6].
Such literature reviews, research and statistics clearly suggest the importance of predicting the air pollution for the future, so that some precautionary measures can be implemented before the situation gets worse. Therefore, in this project, various data mining algorithms such as the Support Vector Machine (SVM), Naïve Bayes will be used with relevant features on the data collected from previous years to predict the near future air pollution.
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