Location reference recognition from texts: A survey and comparison

X Hu, Z Zhou, H Li, Y Hu, F Gu, J Kersten, H Fan… - ACM Computing …, 2023 - dl.acm.org
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …

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 …

Machine learning in crime prediction

K Jenga, C Catal, G Kar - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Predicting crimes before they occur can save lives and losses of property. With the help of
machine learning, many researchers have studied predicting crimes extensively. In this …

Crime prediction based on crime types and using spatial and temporal criminal hotspots

T Almanie, R Mirza, E Lor - arXiv preprint arXiv:1508.02050, 2015 - arxiv.org
This paper focuses on finding spatial and temporal criminal hotspots. It analyses two
different real-world crimes datasets for Denver, CO and Los Angeles, CA and provides a …

[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 …

A framework to predict social crime through twitter tweets by using machine learning

Z Abbass, Z Ali, M Ali, B Akbar… - 2020 IEEE 14th …, 2020 - ieeexplore.ieee.org
An increasing amount of data and information coming from social networks that can be used
to generate a variety of data patterns for different types of investigation such as human social …

CrimeTelescope: crime hotspot prediction based on urban and social media data fusion

D Yang, T Heaney, A Tonon, L Wang… - World Wide Web, 2018 - Springer
Crime is a complex social issue impacting a considerable number of individuals within a
society. Preventing and reducing crime is a top priority in many countries. Given limited …

A systematic review of using machine learning and natural language processing in smart policing

P Sarzaeim, QH Mahmoud, A Azim, G Bauer, I Bowles - Computers, 2023 - mdpi.com
Smart policing refers to the use of advanced technologies such as artificial intelligence to
enhance policing activities in terms of crime prevention or crime reduction. Artificial …

Crime base: Towards building a knowledge base for crime entities and their relationships from online news papers

K Srinivasa, PS Thilagam - Information Processing & Management, 2019 - Elsevier
In the current era of internet, information related to crime is scattered across many sources
namely news media, social networks, blogs, and video repositories, etc. Crime reports …

Open source intelligence extraction for terrorism‐related information: A review

M Chaudhary, D Bansal - Wiley Interdisciplinary Reviews: Data …, 2022 - Wiley Online Library
In this contemporary era, where a large part of the world population is deluged by extensive
use of the internet and social media, terrorists have found it a potential opportunity to …