Multi-Type Urban Crime Prediction
نویسندگان
چکیده
Crime prediction plays an impactful role in enhancing public security and sustainable development of urban. With recent advances data collection integration technologies, a large amount urban with rich crime-related information fine-grained spatio-temporal logs have been recorded. Such helpful can boost our understandings the temporal evolution spatial factors crimes enhance accurate crime prediction. However, vast majority existing algorithms either do not distinguish different types or treat each type separately, which fails to capture intrinsic correlations among crime. In this paper, we perform exploiting cross-type crimes. particular, verify existence from perspectives, propose coherent framework mathematically model these for Extensive experiments on real-world datasets validate effectiveness framework.
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ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2022
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v36i4.20360