Time Series Analysis and Crime Pattern Forecasting of City Crime Data
Time Series Analysis and Crime Pattern Forecasting of City Crime Data
Charlie S. Marzan,Maria Jeseca C. Baculo,R. D. Bulos,Conrado R. Ruiz
2017 · DOI: 10.1145/3127942.3127959
International Conference on Advancements in Computational Sciences · 16 Citations
TLDR
Analysis of various time series forecasting methods such as Linear Regression, Gaussian Processes, Multilayer Perceptron, and SMOreg to predict future trends of crime was performed and provides a solution to help the officers to build a crime controlling strategy to prevent crimes in the future.
