Assist Crime Prevention Using Machine Learning

Nair, Swati; Soniminde, Saloni; Sureshbabu, Sruthi; Tamhankar, Apurva; Kulkarni, Sagar

doi:10.2139/ssrn.3349683

Cited by 4 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this model, machine learning algorithms could predict the rate of occurrence of a particular crime. 8 A study has been conducted on the problem of analyzing the criminal network and identifying the hidden links between them. In a graph, records of collaboration between criminals are described, and then the link prediction technique is used to predict the secret relationship between the two criminals in the network.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A model for predicting crimes using big data and neural‐fuzzy networks

Jaber

Sheibani

Shakeri

2022

Concurrency and Computation

View full text Add to dashboard Cite

Big data analytics is important for identifying and analyzing different patterns, relations, and trends within a large volume of data such as crime prediction. In this paper, we propose a new model for predicting crimes using neural‐fuzzy model. For this purpose, time of occurrence and longitude and latitude of the crime scene are used. We use k‐means algorithms to cluster crime records based on their locations. The crime pattern of each cluster was learnt by its own neural‐fuzzy network, in addition using shuffled frog leaping algorithm to determine the optimal cluster radius. The accuracy and Mean Absolute Error and Root Mean Squared Error of this method were compared with: Gaussian Process Regression, Classification and Regression Tree, and Artificial Neural Network. The experiment results showed that the proposed model was the most accurate model and had the least error to predict the occurrence of crimes so can be used as an effective tool in real‐world applications.

show abstract

Section: Related Workmentioning

confidence: 99%

“…On the other hand, a new model had been proposed to prevent crime based on demographic and economic information of specific regions using decision tree and linear regression. In this model, machine learning algorithms could predict the rate of occurrence of a particular crime 8 …”

Section: Related Workmentioning

confidence: 99%