UPDF AI

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.