Machine Learning for Criminology and Crime Research (PDF)
At the Crossroads
(Sprache: Englisch)
Machine Learning for Criminology and Crime Research reviews the roots of the intersection between machine learning, Artificial Intelligence, and research on crime, examines the current state of the art in this area of scholarly inquiry, and...
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Machine Learning for Criminology and Crime Research reviews the roots of the intersection between machine learning, Artificial Intelligence, and research on crime, examines the current state of the art in this area of scholarly inquiry, and discusses future perspectives that may emerge from this relationship.
Autoren-Porträt von Gian Maria Campedelli
Gian Maria Campedelli is a Postdoctoral Research Fellow in Computational Sociology and Criminology at the University of Trento, Italy. In 2020, he earned a PhD in Criminology from Catholic University in Milan, Italy. From 2016 to 2019 he worked as a researcher at Transcrime, the Joint Research Center on Transnational Crime of Catholic University, University of Bologna, and University of Perugia. In 2018 he was also a visiting research scholar in the School of Computer Science at Carnegie Mellon University, in Pittsburgh, the United States. His research addresses the development and application of computational methods - especially machine learning and complex networks - to the study of criminal and social phenomena, with a specific focus on organized crime, violence, and terrorism.
Bibliographische Angaben
- Autor: Gian Maria Campedelli
- 2022, 1. Auflage, 194 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000596559
- ISBN-13: 9781000596557
- Erscheinungsdatum: 09.06.2022
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- Dateiformat: PDF
- Grösse: 2.30 MB
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Sprache:
Englisch
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