Based on the analysis of current status of offenders recidivism prediction and risk assessment,we proposed an architecture system of identification and prediction of the risk of offenders based on big data.Aiming at different value density and different data types,in the model layer of the system,we described application algorithm of identification and prediction of offenders risk for the statistical model,outlier detection model,integrated classification model of architecture system. In particular,using R software package,we conducted integrated classification identification and prediction experiments,and gives the classification prediction error.The architecture system of identification and prediction of the risk of offenders is based on big data,can realize personalized and accurate early warning for offenders risk,and provide a reliable guarantee for the safety of offenders supervision in the big data era.
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