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Intelligence Management

Overview of attention for book
Cover of 'Intelligence Management'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction – Themes and Issues
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    Chapter 2 The Odyssey Project – Understanding and Implementing User Needs in the Context of Ballistic Crime Data Exchange
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    Chapter 3 Secure Architecture
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    Chapter 4 Interoperability - A Requirement for Tackling Gun Crime
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    Chapter 5 How Complexity Theory is Changing the Role of Analysis in Law Enforcement and National Security
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    Chapter 6 Data Management Techniques for Criminal Investigations
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    Chapter 7 Fast 3D Recognition for Forensics and Counter-Terrorism Applications
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    Chapter 8 Simulations for Crisis Management – PANDORA’s Box
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    Chapter 9 Choices and Voices – A Serious Game for Preventing Violent Extremism
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    Chapter 10 Strategic Intelligence Management for Combating Crime and Terrorism
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    Chapter 11 Human Trafficking – The Importance of Knowledge Information Exchange
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    Chapter 12 Cybercrime Profiling and Trend Analysis
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    Chapter 13 Up Close and Personal – The Interplay between Information Technology and Human Agency in the Policing of the 2011 Sheffield Anti-Lib Dem Protest
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    Chapter 14 Police Learning Strategies
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    Chapter 15 Conclusions – Technology, Society and Law Enforcement Agencies
Attention for Chapter 8: Simulations for Crisis Management – PANDORA’s Box
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Citations

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8 Dimensions

Readers on

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5 Mendeley
Summary Dimensions citations
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Chapter title
Simulations for Crisis Management – PANDORA’s Box
Chapter number 8
Book title
Intelligence Management
Published by
Springer London, July 2011
DOI 10.1007/978-1-4471-2140-4_8
Book ISBNs
978-1-4471-2139-8, 978-1-4471-2140-4
Authors

Mohammad Dastbaz, Aamedeo Cesta

Editors

Babak Akhgar, Simeon Yates

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 40%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 3 60%
Unknown 2 40%

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