학술논문

Categorical Crime Rate Analysis and Prediction
Document Type
Conference
Source
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) Computing Communication and Networking Technologies (ICCCNT), 2022 13th International Conference on. :1-7 Oct, 2022
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Geoscience
Robotics and Control Systems
Signal Processing and Analysis
Analytical models
Economic indicators
Computational modeling
Time series analysis
Predictive models
Unemployment
Time Series Forecasting
Long Short-Term Memory
Vector AutoRegression
Akaike Information Criterion
Augmented Dickey Fuller
Language
Abstract
There exist multiple types of crimes, each having specific requirements/methods of prevention, ways of protection etc. Crime incidences can be eliminated/reduced by tending to a specific type of crime and implementing discrete precautionary methods. For this, we need to develop a deeper understanding of causes, patterns, consequences of crimes across different categories. Moreover, to develop effective and humane means for preventing crimes, we must understand its causes and in turn, the relation with crime rates. Hence, our aim is to predict categorical crime rate using its relation with various factors like GDP, Unemployment, Tourism etc. To achieve this, we propose our own combinational model methodology and analyze their relation with multiple factors.