Dubai’s crime rate appears to be significantly lower. However, do not let this lull you into a false sense of security. Most of the crime occurs in areas populated primarily by lower-income, temporary laborers originating from other countries. Most crimes attributed to this group consist of petty theft, public offenses (e.g., fighting, public intoxication, and property damage), sexual harassment, and rare incidents of violent assault. Using advanced techniques to classify which category the crime belongs to; it will help the concerned authorities to tackle the major crime happening in the City and helpful to find out rare crimes in the city. The technique will be useful for Dubai Expo 2020 events security. The purpose of this research is to analyze Dubai crime related data to reduce the crime rate in the city. The Dubai government works hard in having major events such as the Dubai World Cup (horse race) and Burj Khalifa, New Year celebration. Therefore, since Dubai had several events held previously, the previous crime data will be beneficial to be used in planning prevention strategy for EXPO 2020. This will help the authority to identify crimes in such massive gatherings by analyzing different features of the data available. The study will be helpful to find out what kind of Crimes most happened in the Past, such as Administrative Crime, High-Tech Crime, Immigration Crime, Organized Crime, Property Crime, Public Order Crime, Violent Crime. Machine learning algorithms such as random forest, SVM, and Decision tree will be used in this study to design a predictive model that Classifies a Crime with the highest accuracy.
Professional Studies (MS)
Department, Program, or Center
Graduate Programs & Research (Dubai)
Kankzar, Abdulla Ahmed, "Technique to reduce the robbing crime rate in Dubai during the event of EXPO 2020 by analyzing relevant data." (2021). Thesis. Rochester Institute of Technology. Accessed from