Sprache: Englisch
Verlag: Springer Nature Switzerland AG, 2020
ISBN 10: 3030412504 ISBN 13: 9783030412500
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Sprache: Englisch
Verlag: Springer Nature Switzerland AG, 2020
ISBN 10: 3030412504 ISBN 13: 9783030412500
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Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2021
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Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030412539 ISBN 13: 9783030412531
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Taschenbuch. Zustand: Neu. Social Network Analysis in Predictive Policing | Concepts, Models and Methods | Mohammad A. Tayebi (u. a.) | Taschenbuch | xi | Englisch | 2018 | Springer | EAN 9783319823683 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, 2020
ISBN 10: 3030412504 ISBN 13: 9783030412500
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Zustand: New. Includes research results with important implications for law enforcement agencies and intelligence servicesProvides graduate students with the fundamental research problems of the social media and open source intelligence fieldIntroduces r.
Sprache: Englisch
Verlag: Springer, Berlin, Springer International Publishing, Springer, 2018
ISBN 10: 331982368X ISBN 13: 9783319823683
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks-networks of offenders who have committed crimes together-have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each ofthe studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.
Sprache: Englisch
Verlag: Springer, Berlin, Springer International Publishing, Springer, 2016
ISBN 10: 3319414917 ISBN 13: 9783319414911
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks-networks of offenders who have committed crimes together-have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each ofthe studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing Aug 2020, 2020
ISBN 10: 3030412504 ISBN 13: 9783030412500
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Buch. Zustand: Neu. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2020
ISBN 10: 3030412504 ISBN 13: 9783030412500
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In den WarenkorbHardcover. Zustand: Brand New. 251 pages. 9.50x6.25x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland, 2020
ISBN 10: 3030412504 ISBN 13: 9783030412500
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Buch. Zustand: Neu. Open Source Intelligence and Cyber Crime | Social Media Analytics | Mohammad A. Tayebi (u. a.) | Buch | v | Englisch | 2020 | Springer | EAN 9783030412500 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.