Deep learning for spatio-temporal data mining: A survey
With the fast development of various positioning techniques such as Global Position System
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …
A survey of deep learning: Platforms, applications and emerging research trends
WG Hatcher, W Yu - IEEE access, 2018 - ieeexplore.ieee.org
Deep learning has exploded in the public consciousness, primarily as predictive and
analytical products suffuse our world, in the form of numerous human-centered smart-world …
analytical products suffuse our world, in the form of numerous human-centered smart-world …
Event prediction in the big data era: A systematic survey
L Zhao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …
either our society or the nature, such as earthquakes, civil unrest, system failures …
Empirical analysis for crime prediction and forecasting using machine learning and deep learning techniques
Crime and violation are the threat to justice and meant to be controlled. Accurate crime
prediction and future forecasting trends can assist to enhance metropolitan safety …
prediction and future forecasting trends can assist to enhance metropolitan safety …
Artificial intelligence, predictive policing, and risk assessment for law enforcement
RA Berk - Annual Review of Criminology, 2021 - annualreviews.org
There are widespread concerns about the use of artificial intelligence in law enforcement.
Predictive policing and risk assessment are salient examples. Worries include the accuracy …
Predictive policing and risk assessment are salient examples. Worries include the accuracy …
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention
N Shah, N Bhagat, M Shah - … Computing for Industry, Biomedicine, and Art, 2021 - Springer
A crime is a deliberate act that can cause physical or psychological harm, as well as
property damage or loss, and can lead to punishment by a state or other authority according …
property damage or loss, and can lead to punishment by a state or other authority according …
Crime prediction using machine learning and deep learning: A systematic review and future directions
Predicting crime using machine learning and deep learning techniques has gained
considerable attention from researchers in recent years, focusing on identifying patterns and …
considerable attention from researchers in recent years, focusing on identifying patterns and …
Artificial intelligence & crime prediction: A systematic literature review
The security of a community is its topmost priority; hence, governments must take proper
actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in …
actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in …
Grid-based crime prediction using geographical features
YL Lin, MF Yen, LC Yu - ISPRS International Journal of Geo-Information, 2018 - mdpi.com
Machine learning is useful for grid-based crime prediction. Many previous studies have
examined factors including time, space, and type of crime, but the geographic characteristics …
examined factors including time, space, and type of crime, but the geographic characteristics …
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 …
on important research questions in crime analytics. Because the field is so broad, the review …