Data Mining Approach for Fine Dust Prediction

Speaker
Hyeuk Kim, Division of Big Data and Management Engineering, Hoseo University
Place
TBA
Time

A particle matter is the important issue in control and reduction of pollutants in Korea nowadays. Many atmospheric scientists have tried to predict a particle matter for a long time. In this presentation, we introduce a data mining approach to predict PM2.5 and use a special data source such as a satellite.