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Giles Oatley

Researcher at Federation University Australia

Publications -  70
Citations -  768

Giles Oatley is an academic researcher from Federation University Australia. The author has contributed to research in topics: Computer science & Social network analysis (criminology). The author has an hindex of 14, co-authored 67 publications receiving 672 citations. Previous affiliations of Giles Oatley include University of Sunderland & Cardiff Metropolitan University.

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Crimes analysis software: ‘pins in maps’, clustering and Bayes net prediction

TL;DR: The OVER Project was a collaboration between West Midlands Police, UK, the Centre for Adaptive Systems, and Psychology Division, from the University of Sunderland, and some of the design decisions were based upon the forensic psychology and criminology literature, including the graphical representation of geographic data and presentation of results of analyses.
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Decision support systems for police: lessons from the application of data mining techniques to soft forensic evidence

TL;DR: It is argued that computer science technologies which can support criminal investigations are wide ranging and include geographical information systems displays, clustering and link analysis algorithms and the more complex use of data mining technology for profiling crimes or offenders and matching and predicting crimes.
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Polynomial-fuzzy decision tree structures for classifying medical data

TL;DR: By trading-off comprehensibility and performance using a multi-objective genetic programming optimization algorithm, this paper can induce polynomial-fuzzy decision trees (PFDT) that are smaller, more compact and of better performance than their linear decision tree (LDT) counterparts.
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On average, a professional rugby union player is more likely than not to sustain a concussion after 25 matches

TL;DR: Playing more than 25 matches in the 2015/2016 season meant that sustaining concussion was more likely than not sustaining concussion, and the 38% greater injury risk after concussive injury (compared with non-concussed injury) suggests return to play protocols warrant investigation.
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Matching Crimes Using Burglars' Modus Operandi: A Test of Three Models

TL;DR: In this article, the authors evaluated the ability of three algorithms to match a target crime to the actual offender within a database of 966 offences, using behavioral, spatial and temporal information collected by many police services.