• Aishwarya V
• Abhijna S Hebbar
• Namratha A
• Kulsum Begum
• Dr. Rashmi Amardeep

The three main topics in the field of metropolitan air quality estimation are interpolation, feature analysis and prediction of the fine-grained air quality. If these topics are resolved, they can provide very useful information to control air pollution and therefore generate great technical and societal impacts. The existing work solves the particular three problems individually by using different models. This project proposes a popular and constructive approach to fix the three issues in a single model. The proposal makes use of the details regarding to the unlabeled, spatiotemporal data to refine the execution of the interpolation, prediction and performs feature selection and associative analysis to disclose the important and suitable features of the quality of the air.

Interpolation, Prediction, Feature Selection, Feature Analysis, Spatio-temporal data.

"INTERPOLATION, PREDICTION AND FEATURE ANALYSIS OF FINE-GRAINED AIR QUALITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1588-1593, June 2020, Available :http://www.jetir.org/papers/JETIR2006564.pdf

"INTERPOLATION, PREDICTION AND FEATURE ANALYSIS OF FINE-GRAINED AIR QUALITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1588-1593, June 2020, Available at : http://www.jetir.org/papers/JETIR2006564.pdf