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PREDICTION OF RECIDIVISM IN THEFTS AND BURGLARIES USING MACHINE LEARNING

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dc.creatorFREDY HUMBERTO TRONCOSO ESPINOSA
dc.date2020
dc.date.accessioned2025-01-10T15:17:55Z
dc.date.available2025-01-10T15:17:55Z
dc.date.issued2020
dc.description.abstractBACKGROUND/OBJECTIVES: THEFT AND BURGLARY ARE TWO CRIMES AGAINST PROPERTY THAT HAVE A GREAT SOCIAL IMPACT. THEIR PREVENTION DRASTICALLY LOWERS VICTIMIZATION RATES AND THE FEELING OF INSECURITY IN THE POPULATION. THE OBJECTIVE OF THIS INVESTIGATION IS TO OBTAIN AN INDEX THAT ALLOWS THE PREDICTION OF REPEAT O?ENSES BY CRIMINALS IN THESE TYPES OF CRIMES, IN ORDER TO SUPPORT DECISION-MAKING WITH RESPECT TO PREVENTATIVE ACTIONS. METHODOLOGY: IN ORDER TO OBTAIN THE INDEX, A GROUP OF MACHINES LEARNING WAS TRAINED, WITH INFORMATION PROVIDED BY THE CRIMINAL ANALYSIS AND INVESTIGATIVE FOCUS SYSTEM (CAIFS) FROM THE REGIONAL PUBLIC PROSECUTOR?S O?CE IN BIOBÍO, CHILE. THE INFORMATION PROVIDED WAS FROM THEFTS AND BURGLARIES COMMITTED BETWEEN 2012 AND 2017 IN THE CITY OF CONCEPCIÓN. FINDINGS/APPLICATION: THE RESULTS SHOW A CHARACTERIZATION OF REPEAT O?ENDERS IN THESE TYPES OF CRIME AND A RECURRENCE INDEX THAT ALLOWS FOR A GREATER ASSERTIVENESS IN THE PREDICTION OF RECIDIVISM THAN THE METHOD THAT IS CURRENTLY BEING USED
dc.formatapplication/pdf
dc.identifier.doi10.17485/ijst/2020/v13i06/149853
dc.identifier.issn0974-6846
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/11349
dc.languagespa
dc.publisherINDIAN JOURNAL OF SCIENCE AND TECHNOLOGY
dc.relation.uri10.17485/ijst/2020/v13i06/149853
dc.rightsPUBLICADA
dc.subjectTheft
dc.subjectRecidivism
dc.subjectMachine Learning
dc.subjectCriminal Analysis
dc.subjectBurglary.
dc.titlePREDICTION OF RECIDIVISM IN THEFTS AND BURGLARIES USING MACHINE LEARNING
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE INGENIERIA INDUSTRIAL
ubb.SedeCONCEPCIÓN
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