Machine learning algorithms for predicting roadside fine particulate matter concentration level in Hong Kong Central
Data mining is an approach to discover knowledge from large data. Pollutant forecasting is an important problem in the environmental sciences. This paper tries to use data mining methods to forecast fine particles (PM2.5) concentration level in Hong Kong Central, which is a famous business centre in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Academy of Ecology and Environmental Sciences
2013-09-01
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| Series: | Computational Ecology and Software |
| Subjects: | |
| Online Access: | http://www.iaees.org/publications/journals/ces/articles/2013-3(3)/machine-learning-algorithms-for-predicting-roadside-particulate-matter.pdf |