Authors:
Fredrik Bengtsson
1
;
Amadeus Hein
2
and
Carl Magnus Olsson
3
Affiliations:
1
University of Gothenburg and Acando, Sweden
;
2
University of Gothenburg and Diadrom, Sweden
;
3
University of Gothenburg, Sweden
Keyword(s):
Artificial Intelligence, Data Mining, Neural Networks, Criminology, Design Research.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Data Manipulation
;
Data Mining
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Industrial Applications of AI
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
Storing digital data is increasingly affordable and attractive for many organizations, thus allowing longitudinal postum analysis of events and for identifying trends that may hold interest for predicting future scenarios. Results of manual data analysis suffer from high time consumption and human error due to the complexity or volume of data. Responding to this, our study explores advances in artificial intelligence techniques by presenting experiences from the iterative development of a prototype that assists intelligence officers in identifying trends in serial crimes. This study contributes by illustrating the first steps that may be taken towards diffusing advances in artificial intelligence into a practice area serving the general public.