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The crime forecasting is an important problem as it greatly contributes to urban safety. Typically, the goal of the problem is to predict different types of crimes for each geographical region (like a neighborhood or censor tract) in the near future.
Externí odkaz:
http://arxiv.org/abs/2109.12846
Identifying mobility behaviors in rich trajectory data is of great economic and social interest to various applications including urban planning, marketing and intelligence. Existing work on trajectory clustering often relies on similarity measuremen
Externí odkaz:
http://arxiv.org/abs/2003.01351
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:4193-4200
The crime forecasting is an important problem as it greatly contributes to urban safety. Typically, the goal of the problem is to predict different types of crimes for each geographical region (like a neighborhood or censor tract) in the near future.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::633532a8f93b4c6686be290798b8ae4e
https://doi.org/10.1609/aaai.v36i4.20338
https://doi.org/10.1609/aaai.v36i4.20338
Akademický článek
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