Significant Linear Hotspot Discovery.

IEEE Transactions on Big Data(2017)

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摘要
Given a spatial network and a collection of activities (e.g., pedestrian fatality reports, crime reports), Significant Linear Hotspot Discovery (SLHD) finds all shortest paths in the spatial network where the concentration of activities is statistically significantly high. SLHD is important for societal applications in transportation safety or public safety such as finding paths with significant c...
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关键词
Roads,Heuristic algorithms,Accidents,Spatial databases,Safety,Diseases
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