Forecasting Fine-Grained air quality using data mining
| dc.contributor.advisor | Ispány, Márton | |
| dc.contributor.author | Deng, ChaoChao | |
| dc.contributor.department | DE--Informatikai Kar | hu_HU |
| dc.date.accessioned | 2016-05-17T08:45:35Z | |
| dc.date.available | 2016-05-17T08:45:35Z | |
| dc.date.created | 2016 | |
| dc.description.abstract | There are many factors that impact air quality in one area, like traffic flow, volume of emissions from factories, meteorology in real time and so on. We try to use as many as possible sources and the optimization method to predict the Fine-Grained air quality in real-time. | hu_HU |
| dc.description.course | Computer Science | hu_HU |
| dc.description.degree | MSc/MA | hu_HU |
| dc.format.extent | 72 | hu_HU |
| dc.identifier.uri | http://hdl.handle.net/2437/227490 | |
| dc.language.iso | en | hu_HU |
| dc.subject | Forecasting pollutant concentration of Beijing | hu_HU |
| dc.subject.dspace | DEENK Témalista::Informatika | hu_HU |
| dc.title | Forecasting Fine-Grained air quality using data mining | hu_HU |