PhD Thesis Research Plan ALBERTETTI Fabrizio Thesis Director Prof STOFFEL Kilian Information Management Institute University of Neuchatel Switzerland New Challenges in the European Area ID: 800178
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Slide1
An Intelligent Process-driven Knowledge Extraction Framework for Crime Analysis
PhD Thesis – Research PlanALBERTETTI FabrizioThesis Director: Prof. STOFFEL KilianInformation Management InstituteUniversity of NeuchatelSwitzerland
New
Challenges in the European Area
Young Scientist's 1st International Baku
Forum
May 20-25
Slide22
Agenda
Slide33
Project contextInterdisciplinary project:ComputationalInformation Management Institute, University of NeuchatelForensicsInstitut de Police Scientifique, University of LausanneSupported by the Swiss National Science Foundation (SNSF)5 years project (?) –
Started in Sept. 2011
Slide44
How do criminals think?Is crime rational?
Slide5The Rationality of Crime
E.g., the routine activity approach (Cohen & Felson, 1979)Figure: Routine Activity (popcenter.org)5
Slide66
"Crime analysis is the systematic study of crime and disorder problems as well as other police-related issues—including sociodemographic, spatial, and temporal factors—to assist the police in criminal apprehension, crime and disorder reduction, crime prevention, and evaluation." (
Boba, 2005)
Crime Analysis
Slide77
"Crime analysis is the systematic study of crime and disorder problems as well as other police-related issues—including sociodemographic, spatial, and temporal factors—to assist the police in criminal apprehension, crime and disorder reduction, crime prevention,
and evaluation." (
Boba
, 2005)
Crime Analysis
Slide8The
chain of events in crime prevention:8
ComputationalForensics !Discovering Forensic Knowledge
How can we
prevent crime?
From
patterns to
prevention
(
Ratcliffe
, 2009)
Slide9Objectives
To develop a framework :9
Slide10Key Questions
What is the nature of forensic data?UncertainIncompleteInaccurateWhy?Because it is based on hypotheses and conjecturesBecause it stems mainly from latent marksBecause it reflects the effects and not the causes (abduction)10
Slide11Key Questions
Challenges:To conduct analyses and perform deduction/reasoning with partial knowledge, uncertainties and conjecturesTo integrate domain intelligence for providing practical and consistent resultsTo conduct analyses with a holistic view of the macro process, i.e. combining several mining outcomes based on crime analysis processes11
Slide12Domain-Driven Data Mining
Forensic
Science
Knowledge
Representation
Fuzzy
Logic
Computational
Forensic
Framework
12
Key Questions – Research Domains
Slide13Conclusions
Computational forensics is still an emerging research areaOnly a combination of several domains can answer crime analysis questions13
Slide14Thank you
PhD Thesis – Research PlanALBERTETTI FabrizioThesis Director: Prof. STOFFEL KilianInformation Management InstituteUniversity of NeuchatelSwitzerland
* This
project
is
supported
by the
Swiss
National Science
Foundation
An Intelligent Process-driven Knowledge Extraction Framework for Crime Analysis *