An ensemble method combining these individual models was implemented to improve the prediction performance. Through the voting ensemble method, the final \\({R}^{2}\\) score for crime rate prediction was enhanced to 0.8104.Ling, Hneah Guey...
Crime Analysis and Prediction using Machine Learning 来自 Semantic Scholar 喜欢 0 阅读量: 71 作者: O Llaha 摘要: Data mining and machine learning have become a vital part of crime detection and prevention. The purpose of this paper is to evaluate data mining methods and their performances that...
we borrow methods from text mining and machine learning to examine whether crime events can be classified using text-based latent topic modeling (e.g., Blei2012). Our approach hinges on the idea that the mixtures of behavioral and situational conditions underlying...
Machine learning approaches have been a predominant and popular area of research interest in the crime detection domain. This section summarizes some of the interesting studies conducted in crime detection, analysis, and prediction. The overview will help highlight research gaps or limitations in this...
Policing efforts to thwart crime typically rely on criminal infraction reports, which implicitly manifest a complex relationship between crime, policing and society. As a result, crime prediction and predictive policing have stirred controversy, with the
Alruily M, Ayesh A, Zedan H (2014) Crime profiling for the Arabic language using computational linguistic techniques. Inf Process Manag 50(2):315–341 Article MATH Google Scholar Alsaqabi A, Aldhubayi F, Albahli S (2019) Using machine learning for prediction of factors affecting crimes ...
Link PredictionLUH (methods) & UCSC (assessments)Jaccard Coefficient67.2% accuracy (Top-5) (Burglary dataset)58.82% accuracy (Top-5) Outlier DetectionLUH (methods) & UCSC (assessments)Pagerank & Threshold=0.3-100% accuracy with Threshold less than or equal 0.3 ...
Fielding, A. H., & Bell, J. F. (1997). A review of methods for the assessment of prediction errors in conservation presence/absence models.Environmental Conservation,24(1), 38–49. ArticleGoogle Scholar Glaeser, E. L., & Shleifer, A. (2002). Legal origins.The Quarterly Journal of Eco...
Consequently, we need to draw a clear distinction between using biometrics for identification, on the one hand, and as crime explanation and/or for crime prediction, on the other. Given this distinction it appears that emotional AI would be used for the latter as these technologies are used ...
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