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Big Data
Big data in criminology and criminal justice through the lens of the business literature
Introduction
Big data - what is it?
Big data challenges
Shaping the culture
The process underlying big data and data analytics
The current context on big data in criminology and criminal justice
Big data and criminology
Big data and criminal justice
The current volume
References
The data are everywhere: integrating criminology and epidemiology and improving criminal justice
Introduction
Current focus
Big data criminology
Big data informing criminal justice and enhancing public safety'
Big data obstacles and solutions
Conclusion
Notes
References
Big data and criminology from an AI perspective
Introduction
Big data and artificial intelligence
Machine learning
Data mining
Al in criminology
Case studies
Fiction
Minority Report
Persons of Interest
Reality
Crime Anticipation System
PredPol
Operation LASER
What are the pros and cons?
Trap Wire
What does the future hold for Al within the field of criminology?
Notes
References
Future applications of big data in environmental criminology
Introduction
Making better small data with big data
Big data, data mining, and machine learning in environmental criminology'
Predictive analysis and big data
Co-offending network analysis
Co-offending networks
Co-offending network analysis in practice
Organised crime group detection
Organised crime group detection using community detection
Co-offence prediction
Directions and issues moving forward for big data in environmental criminology
References
Leveraging police incident data for intelligence-led policing
Introduction
State of the art
Hot spot policing
Method
Results
Similarity among all incident records
Administrative attributes
Geographical distribution
Focusing on criminal incidents
Focusing on priority 1 incidents
Social networks built from co-presence
Conclusion
References
The challenges and concerns of using big data to understand cybercrime
Introduction
Big data
Big data and traditional crime
The problem of cybercrime
Big data techniques applied to cybercrime
Forums, bulletin boards, and newsgroups
Websites, blogs, and texts
Email as a data source
Developing metrics for hidden forms of victimisation
Challenges and dilemmas
Future solutions to cybercrinie
References
Genetics, bioethics, and big data
Genetic testimony in judicial systems
Genetics and bioethics in the age of big data
Big data and biobanking in the criminology context
The future of big data and genetics in criminology
References
Big data: generic roadmaps as global solutions for practice
Introduction
Roadmap for creating a culture receptive to big data
Roadmap for implementing a systematic, data analytics-driven process
Conclusion
References
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