Abstract

The project titled " Predictive Methods and Data Pattern Analysis for Reducing Car Plate Theft" seeks to provide innovative solutions to combat car plate theft. The project contains data of 6500 thieves who have stolen number plates and were involved in various other types of criminal activities by putting that number plate in their vehicle. The data collected for the present project is from the emirates of Dubai. It contains information related to thieves age, education, nationality, type of crime committed, area in which crime is committed, number of crimes committed, timing of crime, residential status of criminal, visa status, mode of entry in Dubai etc. This project combines data analysis and predictive modeling to identify patterns of crimes that occur according to each region, nationality, ages, employment statement and, potential hotspots. The data collected is analyzed with the help of SPSS and the relationship between different variables were tested in order to see the association between them. The predictive model has been developed to predict the potential theft areas and their occurrence. By doing so, it aims to reduce the occurrence of this crime, which obstructs the progress of police and investigation work, and also enhances the ability of law enforcement agencies to address relevant issues and make appropriate decisions according to the predictions extracted for each model. In addition, this project will enable Dubai police to restore security and safety in the Emirate of Dubai, and the decrease in the numbers of committing the crime of stealing license plates will speed up investigations into other crimes for which criminals have used the theft of license plates as a cover and make it difficult to reach the truth. The result of the study revealed that the best predicting machine learning is the LSVM in scenario 1 which has all features as an inputs, with accuracy score at 87%.

Library of Congress Subject Headings

Automobile license plates--United Arab Emirates--Dubai; Theft from motor vehicles--United Arab Emirates--Dubai--Prevention; Machine learning

Publication Date

2024

Document Type

Thesis

Student Type

Graduate

Degree Name

Professional Studies (MS)

Department, Program, or Center

Graduate Programs & Research

Advisor

Sanjay Modak

Advisor/Committee Member

Hammou Messatfa

Campus

RIT Dubai

Plan Codes

PROFST-MS

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