Name
Title | ||
|---|---|---|
p-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data. |
Abstract | ||
|---|---|---|
Many countries are suffering from severe air pollution. Understanding how different air pollutants accumulate and propagate is critical to making relevant public policies. In this paper, we use urban big data (air quality data and meteorological data) to identify the spatiotemporal (ST) causal pathways for air pollutants. This problem is challenging because: (1) there are numerous noisy and low-po... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBDATA.2017.2723899 | IEEE Transactions on Big Data |
Keywords | DocType | Volume |
Air pollution,Bayes methods,Data mining,Atmospheric modeling,Time series analysis,Big Data,Urban areas | Journal | 4 |
Issue | ISSN | Citations |
4 | 2332-7790 | 5 |
PageRank | References | Authors |
0.38 | 10 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julie Yixuan Zhu | 1 | 5 | 0.72 |
| Chao Zhang | 2 | 939 | 103.66 |
| Shi Zhi | 3 | 124 | 5.40 |
| Li, V.O.K. | 4 | 4160 | 695.00 |
| Jiawei Han | 5 | 43085 | 3824.48 |
| Yu Zheng | 6 | 8939 | 432.87 |