RAQ–A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems

@inproceedings{Yu2016RAQARF,
  title={RAQ–A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems},
  author={Ruiyun Yu and Yu Kyung Yang and Leyou Yang and Guangjie Han and Oguti Ann Move},
  booktitle={Sensors},
  year={2016}
}
Air quality information such as the concentration of PM2.5 is of great significance for human health and city management. It affects the way of traveling, urban planning, government policies and so on. However, in major cities there is typically only a limited number of air quality monitoring stations. In the meantime, air quality varies in the urban areas and there can be large differences, even between closely neighboring regions. In this paper, a random forest approach for predicting air… CONTINUE READING
Highly Cited
This paper has 17 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 1 time. VIEW TWEETS

From This Paper

Topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 38 references

Data Mining Software in Java

3 Weka
Available online: http://www.cs.waikato.ac.nz/ml/weka/ • 2015
View 5 Excerpts
Highly Influenced

Random Forests. Available online: https://www.stat.berkeley.edu/~breiman/ RandomForests/cc_home.htm#ooberr (accessed on

L. Breiman, A. Cutler
2015
View 3 Excerpts
Highly Influenced

Air Quality Data Provider

PM25.in
Available online: http://pm25.in • 2016
View 1 Excerpt

Weather for 243 Countries of the World

RP5.ru
Available online: http://rp5.ru • 2016
View 1 Excerpt

Granger-Causality-based air quality estimation with spatio-temporal (S-T) heterogeneous big data

2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) • 2015
View 1 Excerpt

High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) • 2014
View 1 Excerpt

Pushing the spatio-temporal resolution limit of urban air pollution maps

2014 IEEE International Conference on Pervasive Computing and Communications (PerCom) • 2014
View 1 Excerpt

Similar Papers

Loading similar papers…