Abstract | ||
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Trajectory data mining has been a hot topic in computer science and geographic information science. Recent advancements of information and location-aware technologies have enhanced our capability of collecting individual trajectory data for people, vehicles, or other moving objects. A trajectory can reveal the individual's spatiotemporal activities. Large amounts of trajectories could reflect people's behavior patterns. Thus, trajectory data mining and analysis can be useful to ubiquitous computing. The objective of this workshop is to share knowledge of ongoing research among researchers and practitioners, to present and discuss work related to novel methods, innovative applications, and future trends in the field. |
Year | DOI | Venue |
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2011 | 10.1145/2030112.2030252 | UbiComp |
Keywords | Field | DocType |
workshop overview,human behavior,data mining,location based service,location based services,space time | Trajectory data mining,Computer science,Location-based service,Time division multiple access,Multimedia | Conference |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Feng Lu | 1 | 54 | 13.55 |
Xing Xie | 2 | 9105 | 527.49 |
Shih-Lung Shaw | 3 | 341 | 23.87 |