[CITATION][C] Finding Spatiotemporal Co-occurrence Patterns of Heterogeneous Events for Prediction.
Hung Tran-The, K Zettsu - EM-GIS, 2017
Finding Spatiotemporal Co-occurrence Patterns of Heterogeneous Events for Prediction
H Tran-The, K Zettsu - Proceedings of the 3rd ACM SIGSPATIAL …, 2017 - dl.acm.org
Advances of IoT facilitates leverage of heterogeneous sensing data over the Internet, such
as remote sensing data, traffic data and SNS data. Integrated analysis of IoT data is crucial
part for urban emergency management in smart cities in order to predict various social
events co-occurring with a natural disaster event. Discovering of spatiotemporal co-
occurrence patterns is a task of integrated analysis of IoT data and has received a lot of
attention. However, such spatiotemporal co-occurrence patterns can fail to capture local …
as remote sensing data, traffic data and SNS data. Integrated analysis of IoT data is crucial
part for urban emergency management in smart cities in order to predict various social
events co-occurring with a natural disaster event. Discovering of spatiotemporal co-
occurrence patterns is a task of integrated analysis of IoT data and has received a lot of
attention. However, such spatiotemporal co-occurrence patterns can fail to capture local …
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