• Dr. Kavita K. Ahuja

Predictive Modeling is the solution for discovering data in areas of air pollution prediction in the urban area. The prediction of the dataset is always helpful in the visualization and monitoring of the dataset. The air quality prediction for the urban city is necessary for future alert and precaution for a human being to save from hazardous. The urban areas need more observations regarding the air quality level and its impact on human health because of urbanization. In this research paper, we predict the air quality levels concerning air pollutants for the year 2016 based on the known dataset captured by sensors mounted at different geographical areas for the year 2014 and 2015 for the urban areas of the country India. This work leads to develop the formulation of regression analysis for the air pollutants to predict the air pollutants for any year concerning any month and time slots of the day.

Predictive Modeling, Air Quality, Air Pollutants, Prediction range

"Regression-Based Predictive Modeling for Air Quality Parameters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.5-9, August-2018, Available :http://www.jetir.org/papers/JETIR1809A95.pdf

"Regression-Based Predictive Modeling for Air Quality Parameters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp5-9, August-2018, Available at : http://www.jetir.org/papers/JETIR1809A95.pdf