Buch, Englisch, Band 18, 558 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 902 g
Knowledge Management and Data Mining for Homeland Security
Buch, Englisch, Band 18, 558 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 902 g
Reihe: Integrated Series in Information Systems
ISBN: 978-1-4899-9814-9
Verlag: Springer US
This book is nothing less than a complete and comprehensive survey of the state-of-the-art of terrorism informatics. It covers the application of advanced methodologies and information fusion and analysis. It also lays out techniques to acquire, integrate, process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The book details three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. It systematically examines the current and ongoing research, including recent case studies and application of terrorism informatics techniques. The coverage then presents the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Politikwissenschaft Politische Gewalt Terrorismus, Religiöser Fundamentalismus
- Sozialwissenschaften Politikwissenschaft Militärwesen Nationale und Internationale Sicherheits- und Verteidigungspolitik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
Weitere Infos & Material
Methodological Issues in Terrorism Research.- Domain Mapping of Contemporary Terrorism Research.- Research on Terrorism.- Who Are the Key Figures in ‘Terrorism Studies’?.- Interviewing Terrorists.- Resolving a Terrorist Insurgency by Addressing Its Root Causes.- A Quantitative Analysis of ‘Root Causes of Conflict’.- Countering Terrorism with Knowledge.- Toward a Target-specific Method of Threat Assessment.- Identifying and Exploiting Group Learning Patterns for Counterterrorism.- Homeland Insecurity.- Terrorism Informatics to Support Prevention, Detection, and Response.- Case Study of Jihad on the Web.- Studying Global Extremist Organizations' Internet Presence Using the DarkWeb Attribute System.- Content Analysis of Jihadi Extremist Groups' Videos.- Analysis of Affect Intensities in Extremist Group Forums.- Document Selection for Extracting Entity and Relationship Instances of Terrorist Events.- Data Distortion Methods and Metrics in a Terrorist Analysis System.- Content-Based Detection of Terrorists Browsing the Web Using an Advanced Terror Detection System (ATDS).- Text Mining the Biomedical Literature for Identification of Potential Virus/Bacterium as Bio-Terrorism Weapons.- Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content.- Individual and Collective Analysis of Anomalies in Message Traffic.- Addressing Insider Threat through Cost-Sensitive Document Classification.- Using Web Mining and Social Network Analysis to Study The Emergence of Cyber Communities In Blogs.- Automatic Extraction of Deceptive Behavioral Cues from Video.- Situational Awareness Technologies for Disaster Response.
