Applied Machine Learning in Social Sciences: Neural Networks and Crime Prediction
This study proposes a crime prediction model according to communes (areas or districts in which the city of Buenos Aires is divided). For this, the Python programming language is used, due to its versatility and wide availability of libraries oriented to Machine Learning. The crimes reported (period...
Main Authors: | Ricardo Francisco Reier Forradellas, Sergio Luis Náñez Alonso, Javier Jorge-Vazquez, Marcela Laura Rodriguez |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
|
Series: | Social Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-0760/10/1/4 |
Similar Items
-
Crime mapping features
by: O. V. Manzhai, et al.
Published: (2020-12-01) -
Predicting Crime Time Intervals Using Machine Learning Models
by: Arief Deswandi, et al.
Published: (2024-12-01) -
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
by: Varun Mandalapu, et al.
Published: (2023-01-01) -
Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction
by: Zengli Wang, et al.
Published: (2019-09-01) -
The System for Extracting Crime Elements and Predicting Excavation-Type Heritage Crimes Based on Deep Learning Models
by: Hongyu Lv, et al.
Published: (2023-06-01)