Tayebi Mohammad Ali (6 results)

Language: English
Published by Springer 2016
Series: Lecture Notes in Social Networks, Book 19 of 45. Book 19 of 45 - Lecture Notes in Social Networks
- Hardcover
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Language: English
Published by Springer 2016
Series: Lecture Notes in Social Networks, Book 19 of 45. Book 19 of 45 - Lecture Notes in Social Networks
- Hardcover
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Language: English
Published by Springer 2016
Series: Lecture Notes in Social Networks, Book 19 of 45. Book 19 of 45 - Lecture Notes in Social Networks
- Hardcover
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Language: English
Published by Springer 2016
Series: Lecture Notes in Social Networks, Book 19 of 45. Book 19 of 45 - Lecture Notes in Social Networks
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Springer, Berlin, Springer 2016
Series: Lecture Notes in Social Networks, Book 19 of 45. Book 19 of 45 - Lecture Notes in Social Networks
- Hardcover
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Buch. Condition: 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-offe…nding 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.

Language: English
Published by Springer, Berlin, Springer International Publishing, Springer Okt 2016 2016
Series: Lecture Notes in Social Networks, Book 19 of 45. Book 19 of 45 - Lecture Notes in Social Networks
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 p…atterns. 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. 133 pp. Englisch.