Name
Title | ||
|---|---|---|
Fine-Grained Urban Event Detection and Characterization Based on Tensor Cofactorization. |
Abstract | ||
|---|---|---|
Understanding the irregular crowd movement and social activities caused by urban events such as city festivals and concerts can benefit event management and city planning. Although various urban data can be exploited to detect such irregularities, the crowd mobility data (e.g., bike trip records) are usually in a mixed state with several basic patterns (e.g., eating, working, and recreation), maki... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/THMS.2016.2596103 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Event detection,Tensile stress,Data integration,Semantics,Global Positioning System,Urban planning | Data integration,Data mining,Social network,Tensor,Computer science,Baseline (configuration management),Sensor fusion,Urban planning,Artificial intelligence,Global Positioning System,Semantics,Machine learning | Journal |
Volume | Issue | ISSN |
47 | 3 | 2168-2291 |
Citations | PageRank | References |
7 | 0.43 | 38 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Longbiao Chen | 1 | 123 | 10.60 |
| Jérémie Jakubowicz | 2 | 222 | 17.95 |
| Dingqi Yang | 3 | 542 | 28.79 |
| Daqing Zhang | 4 | 3619 | 217.31 |
| Gang Pan | 5 | 1501 | 123.57 |