The crime rate inference problem is to estimate the crime rate in one region using the crime rate of other regions in the same year by considering the features of regions and correlations between regions.
We observed significantly improved performance in crime rate inference compared to using traditional features. Such an improvement is consistent over multiple ...
This novel work is a collaboration between computer science and criminal justice aimed to develop a data mining procedure that can help solve crimes faster.
We observed significantly improved performance in crime rate inference compared to using traditional features. Such an improvement is consistent over multiple ...
[PDF] Crime Rate Inference with Big Data | Semantic Scholar
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Non-Stationary Model for Crime Rate Inference Using Modern Urban Data · Sociology, Computer Science. IEEE Transactions on Big Data · 2019.
Crime Rate Inference with Big Data. Hongjian Wang† , Daniel Kifer‡ , Corina Graif$ , Zhenhui Li†. † College of Information Sciences and Technology
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We observed significantly improved performance in crime rate inference compared to using traditional features. Such an improvement is consistent over mul- tiple ...
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We observe significantly improved performance in crime rate inference compared to using traditional features. Such an improvement is consistent over multiple ...
Nov 2, 2024 · This model aims to predict crime rates by leveraging a range of variables such as the probability of arrest and conviction, police presence, and ...
Some police are starting to use big data to predict future crime circumstances, and when and where illegal acts could happen. Here's what to know about it.
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