Name
Abstract | ||
|---|---|---|
Traffic congestion is a condition of a segment in the road network where the traffic demand is greater than the available road capacity. The detection of unusual traffic patterns including congestions is a significant research problem in the data mining and knowledge discovery community. However, to the best of our knowledge, the discovery of propagations, or causal interactions among detected tra... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBDATA.2016.2587669 | IEEE Transactions on Big Data |
Keywords | Field | DocType |
Roads,Heuristic algorithms,Hidden Markov models,Big data,Data models,Bayes methods,Sensors | Spatial analysis,Data mining,Data modeling,Causality,Computer science,Artificial intelligence,Knowledge extraction,Hidden Markov model,Big data,Machine learning,Traffic congestion,Dynamic Bayesian network | Journal |
Volume | Issue | ISSN |
3 | 2 | 2332-7790 |
Citations | PageRank | References |
7 | 0.61 | 28 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hoang Nguyen | 1 | 36 | 7.00 |
| Wei Liu | 2 | 468 | 37.36 |
| Fang Chen | 3 | 156 | 49.84 |