A review of data mining applications in crime

H Hassani, X Huang, ES Silva… - Statistical Analysis and …, 2016 - Wiley Online Library
Crime continues to remain a severe threat to all communities and nations across the globe
alongside the sophistication in technology and processes that are being exploited to enable …

Themes in data mining, big data, and crime analytics

GC Oatley - Wiley Interdisciplinary Reviews: Data Mining and …, 2022 - Wiley Online Library
This article examines the impact of new AI‐related technologies in data mining and big data
on important research questions in crime analytics. Because the field is so broad, the review …

[PDF][PDF] Crime prediction using decision tree (J48) classification algorithm

E Ahishakiye, D Taremwa, EO Omulo… - International Journal of …, 2017 - academia.edu
There had been an enormous increase in the crime in the recent past. Crimes are a common
social problem affecting the quality of life and the economic growth of a society. With the …

Predicting public corruption with neural networks: An analysis of spanish provinces

FJ López-Iturriaga, IP Sanz - Social indicators research, 2018 - Springer
We contend that corruption must be detected as soon as possible so that corrective and
preventive measures may be taken. Thus, we develop an early warning system based on a …

Diagnosis of crime rate against women using k-fold cross validation through machine learning

P Tamilarasi, RU Rani - 2020 fourth international conference on …, 2020 - ieeexplore.ieee.org
Crime against women has become a very big problem of our nation. Many countries are
trying to control this offence continuously and its prevention is an essential task. In recent …

Predicting crime and other uses of neural networks in police decision making

S Walczak - Frontiers in Psychology, 2021 - frontiersin.org
Neural networks are a machine learning method that excel in solving classification and
forecasting problems. They have also been shown to be a useful tool for working with big …

Machine learning algorithms for crime prediction under Indian penal code

RM Aziz, P Sharma, A Hussain - Annals of data Science, 2024 - Springer
In this paper, the authors propose a data-driven approach to draw insightful knowledge from
the Indian crime data. The proposed approach can be helpful for police and other law …

The ethics of web crawling and web scraping in cybercrime research: Navigating issues of consent, privacy, and other potential harms associated with automated data …

R Brewer, B Westlake, T Hart, O Arauza - … : methodologies, ethics, and …, 2021 - Springer
The abundance of data easily accessible on the internet has made it an appealing domain
for conducting social science research. Because of the volume of data available, automated …

Cognizable crime rate prediction and analysis under Indian penal code using deep learning with novel optimization approach

RM Aziz, A Hussain, P Sharma - Multimedia Tools and Applications, 2024 - Springer
The exacerbation of high crime rate has become a critical impediment to the country's
economy, therefore necessitating the involvement of data analysts and scientists in …

Crime analysis and prediction using machine learning

O Llaha - 2020 43rd international convention on information …, 2020 - ieeexplore.ieee.org
Data mining and machine learning have become a vital part of crime detection and
prevention. The purpose of this paper is to evaluate data mining methods and their …