Targeting Crimes and Criminals Through Data - Dr. Rick Adderley
Offered By: Alan Turing Institute via YouTube
Course Description
Overview
Explore the challenges and techniques of mining police data for operational intelligence in this comprehensive seminar by Dr. Rick Adderley. Delve into the complexities of day-to-day police reporting systems, resource allocation, and offender arrest processes. Learn about the intricacies of linking data across systems and extracting valuable information from free text. Discover the importance of Criminal Network Analysis (CNA) in crime prevention and detection, and understand the distinctions between analyzing overt and covert networks. Examine how supervised and unsupervised learning methods are employed to identify prolific and priority offenders, and how these insights are utilized to solve crimes, target offenders, and optimize resource allocation. Gain knowledge about the EU-funded FP7 project Valcri and its mission to create a police dataset suitable for research purposes. Drawing from his 32-year career as a Police Officer and his expertise in criminal activity profiling, Dr. Adderley provides valuable insights into the intersection of data mining and law enforcement.
Syllabus
Introduction
Data mining methodology
How data is recorded
National Intelligence Model
Structured Unstructured Data
Unique Reference Numbers
Preprocessing
Missing information
Modelling offenders
Criminal network analysis
Degrees of freedom
Real networks
Targeting people
Education and health
Interview lists
Overlaying MO
Tools
Research challenges
Operationally effective research
Who owns the IP
Visualizations
Challenges
Valkyrie
Data
Taught by
Alan Turing Institute
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