A Comprehensive Review on Crime Patterns and Trends Analysis using Machine Learning

A Ratra, A Agarwal, S Vats, V Sharma… - 2023 Second …, 2023 - ieeexplore.ieee.org
This study examines the analysis and visualization of a dataset from the London Police that
contains crime incidents reported over a 12-month span. The dataset contains several …

Applied intelligent data analysis to government data related to criminal incident: A systematic review

K Henrique de Jesus Prado… - Journal of Applied …, 2020 - Taylor & Francis
Context Crime is a prevalent social problem, then, government and society, in general, have
had enormous problems caused by this phenomenon. However, with the increasing ability …

Employing deep learning and time series analysis to tackle the accuracy and robustness of the forecasting problem

H Tariq, MK Hanif, MU Sarwar, S Bari… - Security and …, 2021 - Wiley Online Library
Crime is a bone of contention that can create a societal disturbance. Crime forecasting using
time series is an efficient statistical tool for predicting rates of crime in many countries around …

Analyzing physical and socio-economic factors for property crime incident in Addis Ababa, Ethiopia

Y Yigzaw, A Mekuriaw, T Amsalu - Heliyon, 2023 - cell.com
Property crime has become a challenge in major cities of developing countries including
Addis Ababa, Ethiopia. However, factors contributing to property crime have not been …

Spatio-temporal crime analysis using KDE and ARIMA models in the Indian context

PR Boppuru, K Ramesha - International Journal of Digital Crime and …, 2020 - igi-global.com
In developing countries like India, crime plays a detrimental role in economic growth and
prosperity. With the increase in delinquencies, law enforcement needs to deploy limited …

Spatiotemporal Predictive Geo-Visualization of Criminal Activity for Application to Real-Time Systems for Crime Deterrence, Prevention and Control

M Salcedo-Gonzalez, J Suarez-Paez, M Esteve… - … International Journal of …, 2023 - mdpi.com
This article presents the development of a geo-visualization tool, which provides police
officers or any other type of law enforcement officer with the ability to conduct the …

Crime analysis and forecasting on spatio temporal news feed data—an indian context

BR Prathap, AVN Krishna, K Balachandran - Artificial intelligence and …, 2021 - Springer
Social media is a platform where people communicate, interact, share ideas, interest in
careers, photos, videos, etc. The study says that social media provides an opportunity to …

[PDF][PDF] Automating time series forecasting on crime data using rnn-lstm

JV Devi, K Kavitha - … Journal of Advanced Computer Science and …, 2021 - academia.edu
Criminal activities, be it violent or non-violent are major threats to the safety and security of
people. Frequent Crimes are the extreme hindrance to the sustainable development of a …

Where will the next oil spill incident in the Niger Delta region of Nigeria occur?

VO Wekpe, M Whitworth, B Baily - Environmental Research …, 2024 - iopscience.iop.org
Oil spill incidents are almost a daily occurrence within the Niger Delta region of Nigeria with
far-reaching environmental, economic and social consequences. This study aimed at …

Road traffic accidents analysis using association rule mining and descriptive analytics

NH Datu - AIP Conference Proceedings, 2023 - pubs.aip.org
Road accidents analysis is possible using data mining to help traffic managers make
informed decisions to protect public safety. With the aim to help reduce the number of road …