Terrorism Informatics Knowledge Management and Data Mining for Homeland Security /

Terrorism informatics has been defined as the application of advanced methodologies, information fusion and analysis techniques to acquire, integrate process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The wide var...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Chen, Hsinchun (Editor ), Reid, Edna (Editor ), Sinai, Joshua (Editor ), Silke, Andrew (Editor ), Ganor, Boaz (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Integrated Series in Information Systems, 18
Temas:
Business information services.
Data structures (Computer science).
Information theory.
Computer networks .
Electronic commerce.
Political science.
IT in Business.
Data Structures and Information Theory.
Computer Communication Networks.
e-Commerce and e-Business.
Political Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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