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Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2029454
Abstract: Abstract Incident data, a form of big data frequently used in urban studies, are characterized by point features with high spatial and temporal resolution and categorical values. In contrast to panel data, such spatial data…
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Keywords:
temporally weighted;
crime patterns;
weighted location;
geographically temporally ... See more keywords
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Published in 2022 at "IT Professional"
DOI: 10.1109/mitp.2022.3157029
Abstract: Law enforcement, legal authorities, financial fraud, and financial investigators seek evidence of financial crimes, and graph technologies provide a unique opportunity to uncover financial criminals by reviewing all-inclusive entities involved, their relationships to identify suspicious…
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Keywords:
financial crime;
crime patterns;
investigate financial;
using graph ... See more keywords
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Published in 2021 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2019.2947515
Abstract: São Paulo is the largest city in South America, with crime rates that reflect its size. The number and type of crimes vary considerably around the city, assuming different patterns depending on urban and social…
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Keywords:
crime patterns;
mml;
math;
inline formula ... See more keywords
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Published in 2021 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2021.3111146
Abstract: Extracting and analyzing crime patterns in big cities is a challenging spatiotemporal problem. The problem's hardness is linked to the sparse nature of the crime activity and its spread in large spatial areas. Sparseness hampers…
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Keywords:
crime patterns;
crime;
analysis;
time series ... See more keywords