Analyzing and Predicting Spatial Crime Distribution Using Crowdsourced and Open Data

Abstract

Data analytics has an ever increasing impact on tackling various societal challenges. In this article, we investigate how data from several heterogeneous online sources can be used to discover insights and make predictions about the spatial distribution of crime in large urban environments. A series of important research questions is addressed, following a… (More)
DOI: 10.1145/3190345

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