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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Discovering Event Regions Using a Large-Scale Trajectory Dataset
verfasst von : Ling Yang, Zhijun Li, Shouxu Jiang
Erschienen in: Intelligent Computation in Big Data Era
Verlag: Springer Berlin Heidelberg
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The city is facing the unprecedented pressure with the rapid development and the moving population. Some hidden knowledge can be found to service the social with human trajectory data. In this paper, we define a state-ofthe- art concept on fluctuant locations with PCA method and discover the same attribute of fluctuant locations called event with topic model. In the time slice, locations with the same attribute are called event region. Event regions aim to understand the relationship between spatial-temporal locations in the city and to early-warning analyze for the city planning, construction, intelligent navigation, route planning and location based service. We use GeoLife public data to experiment and verify this paper.