Analysing offender's attributes in the event of robbery by using microsimulation model

Hussain, K. Zakir; Durairaj, M.; Farzana, G. Rabia Jahani

doi:10.1109/icaccct.2012.6320726

Cited by 1 publication

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“…Violent crime, it is murder, forcible Rape, Robbery, etc… that lead to injury. The challenge faced in violent crime is it cannot be predicted with great certainty since it is systematic or random [1]. According to National Crime Research Center, NCRC, the crime like burglary, and arson are said to have reduced meanwhile others like murder, sex abuse, and rape have been reported.…”

Section: Introductionmentioning

confidence: 99%

Crime Prediction using Machine Learning

et al. 2024

EAI Endorsed Trans IoT

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The process of researching crime patterns and trends in order to find underlying issues and potential solutions to crime prevention is known as crime analysis. This includes using statistical analysis, geographic mapping, and other approaches of type and scope of crime in their areas. Crime analysis can also entail the creation of predictive models that use previous data to anticipate future crime tendencies. Law enforcement authorities can more efficiently allocate resources and target initiatives to reduce crime and increase public safety by evaluating crime data and finding trends. For prediction, this data was fed into algorithms such as Linear Regression and Random Forest. Using data from 2001 to 2016, crime-type projections are made for each state as well as all states in India. Simple visualisation charts are used to represent these predictions. One critical feature of these algorithms is identifying the trend-changing year in order to boost the accuracy of the predictions. The main aim is to predict crime cases from 2017 to 2020 by using the dataset from 2001 to 2016.

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Section: Introductionmentioning

confidence: 99%

Crime Prediction using Machine Learning

et al. 2024

EAI Endorsed Trans IoT

View full text Add to dashboard Cite

show abstract

Analysing offender's attributes in the event of robbery by using microsimulation model

Cited by 1 publication

References 3 publications

Crime Prediction using Machine Learning

Crime Prediction using Machine Learning

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