國立虎尾科技大學 |

Social Network Analysis in Predictive Policing = Concepts, Models and Methods /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Social Network Analysis in Predictive Policing/ by Mohammad A. Tayebi, Uwe Glässer.
其他題名:	Concepts, Models and Methods /
作者:	Tayebi, Mohammad A.
其他作者:	Glässer, Uwe.
面頁冊數:	XI, 133 p. 43 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-3-319-41492-8
ISBN:	9783319414928

Social Network Analysis in Predictive Policing = Concepts, Models and Methods /
Tayebi, Mohammad A.

Social Network Analysis in Predictive PolicingConcepts, Models and Methods /[electronic resource] :by Mohammad A. Tayebi, Uwe Glässer. - 1st ed. 2016. - XI, 133 p. 43 illus. in color.online resource. - Lecture Notes in Social Networks,2190-5428. - Lecture Notes in Social Networks,.

Introduction -- Social Network Analysis in Predictive Policing -- Structure of Co-offending Networks -- Organized Crime Group Detection -- Suspect Investigation -- Co-offence Prediction -- Personalized Crime Location Prediction -- Concluding remarks -- References.

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 of the 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.

ISBN: 9783319414928

Standard No.: 10.1007/978-3-319-41492-8doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Social Network Analysis in Predictive Policing = Concepts, Models and Methods /
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