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 enhance
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...
a,b, Out-of-sample AUC for predicting violent (a) and property crimes (b). The prediction is made 1 week in advance, and the event is registered as a successful prediction if we get a hit within ±1 day of the predicted date.c, Distribution of AUC on average, individually for ...
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 ...
(status='error',error_message=message)# Sets the status code to 400response.status_code=HTTP_BAD_REQUESTreturnresponsefeatures=[[Description]]predictions=MODEL.transform(features)label_pred=predictions.select("Description","Category","probability","prediction")returnjsonify(status='complete',label=label...
and thus never have become mainstream theories (see Goring1913, Merton et al.1940, Horn2003, Siegel2012). 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...
In total, we deployed 48 machine learning models (16 VAR + 16 GLMNet + 16 XGBTree) to estimate the relationship between hate crimes against migrants or LGBT people and inflammatory language and then compared the prediction errors (MAE and RMSE) and explained variance (R2) among these...
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