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1
Introduction
2
Data mining methodology
3
How data is recorded
4
National Intelligence Model
5
Structured Unstructured Data
6
Unique Reference Numbers
7
Preprocessing
8
Missing information
9
Modelling offenders
10
Criminal network analysis
11
Degrees of freedom
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Real networks
13
Targeting people
14
Education and health
15
Interview lists
16
Overlaying MO
17
Tools
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Research challenges
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Operationally effective research
20
Who owns the IP
21
Visualizations
22
Challenges
23
Valkyrie
24
Data
Description:
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. Read more

Targeting Crimes and Criminals Through Data - Dr. Rick Adderley

Alan Turing Institute
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