A systematic review of big data-based urban sustainability research: State-of-the-science and future directions

L Kong, Z Liu, J Wu - Journal of Cleaner Production, 2020 - Elsevier
The future of humanity depends increasingly on the performance of cities. Big data provide
new and powerful ways of studying and improving coupled urban environmental, social, and …

Comprehensive review of cybercrime detection techniques

WA Al-Khater, S Al-Maadeed, AA Ahmed… - IEEE …, 2020 - ieeexplore.ieee.org
Cybercrimes are cases of indictable offences and misdemeanors that involve computers or
communication tools as targets and commission instruments or are associated with the …

Digital inequalities 2.0: Legacy inequalities in the information age

L Robinson, J Schulz, G Blank, M Ragnedda, H Ono… - First Monday, 2020 - ora.ox.ac.uk
2020 marks the 25th anniversary of the “digital divide.” Although a quarter century has
passed, legacy digital inequalities continue, and emergent digital inequalities are …

Spatio-temporal crime hotspot detection and prediction: a systematic literature review

UM Butt, S Letchmunan, FH Hassan, M Ali… - IEEE …, 2020 - ieeexplore.ieee.org
The primary objective of this study is to accumulate, summarize, and evaluate the state-of-
the-art for spatio-temporal crime hotspot detection and prediction techniques by conducting …

A systematic review on spatial crime forecasting

O Kounadi, A Ristea, A Araujo, M Leitner - Crime science, 2020 - Springer
Background Predictive policing and crime analytics with a spatiotemporal focus get
increasing attention among a variety of scientific communities and are already being …

Deep learning and implementations in banking

H Hassani, X Huang, E Silva, M Ghodsi - Annals of Data Science, 2020 - Springer
Data-driven technologies have been changing every aspect of human life and the fast-
developing banking sector with its data-rich nature has become the implementation field of …

A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management

A Mukhopadhyay, G Pettet, S Vazirizade, D Lu… - arXiv preprint arXiv …, 2020 - arxiv.org
In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …

Impact of application of big data on cryptocurrency

SK Sharma, RK Modanval, N Gayathri… - Cryptocurrencies …, 2020 - Wiley Online Library
The popularity of cryptocurrency lies in its colossal applications and technologically
advanced architecture. Cryptocurrency uses blockchain technology which replaces the …

Big data, data mining, machine learning, and deep learning concepts in crime data

EC Ateş, GE Bostancı, S Msg - Journal of Penal Law and …, 2020 - dergipark.org.tr
Along with the rapid change of information technologies and the widespread use of the
internet over time, data stacks with ample diversity and quite large volumes has emerged …

SPCSS: Social network based privacy-preserving criminal suspects sensing

J Xu, A Wang, J Wu, C Wang, R Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With development of online social networks, many criminal suspects use social network to
communicate with each other. In order to obtain valuable criminal clues, considerable …