Renee Bousselaire

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Given a spatial network and a collection of activity events (e.g., emergency requests, crime reports, accident reports, etc.), spatial network activity summarization (SNAS) finds a set of k shortest paths based on the activity events. SNAS is important for critical societal applications such as disaster response and crime analysis. SNAS is computationally(More)
Eck et. al. in their article in [1] has proposed an approach to use K-means [2] clustering algorithm to cluster crime hot spots. Oliver et. al. in [3, 4] has argued that in places with low crime density KMR is a better alternative for law enforcement agencies than [1]. In this research we are interested in finding out the following questions: 1. At what(More)
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