Database Systems for Advanced Applications by An Liu Yoshiharu Ishikawa Tieyun Qian Sarana Nutanong & Muhammad Aamir Cheema

Author:An Liu, Yoshiharu Ishikawa, Tieyun Qian, Sarana Nutanong & Muhammad Aamir Cheema
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

To identify bursty areas more sensitively, the -density-based adaptive spatiotemporal clustering is proposed. Conventional -density based spatiotemporal clustering [12] cannot identify local high-density areas, even when these areas are high density in local area. The -density-based adaptive spatiotemporal clustering algorithm can identify local high-density areas depending on their neighboring regions.

To evaluate our new spatiotemporal analysis method for emergency situation awareness during natural disasters, we implemented a web-based application for grasping the emergency situation during natural disasters related to weather in Japan. Moreover, we compared the -density-based adaptive spatiotemporal clustering with our previous method in a weather topic in Japan.

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