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Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security(18 Integrated Series in Information Systems)

Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security(18 Integrated Series in Information Systems)

          
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About the Book

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 variety of methods used in terrorism informatics are derived from Computer Science, Informatics, Statistics, Mathematics, Linguistics, Social Sciences, and Public Policy and they involve the collection of a mass of information from multiple sources and in numerous languages.   TERRORISM INFORMATICS: Knowledge Management and Data Mining for Homeland Security will provide an interdisciplinary and comprehensive survey of the state-of-the-art of terrorism informatics domain along three basic dimensions: methodological issues in terrorism research; information infusion techniques to support terrorism prevention, detection, and response; and legal, social, privacy, and data confidentiality challenges and approaches.

Table of Contents:
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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Product Details
  • ISBN-13: 9780387716121
  • Publisher: Springer-Verlag New York Inc.
  • Publisher Imprint: Springer-Verlag New York Inc.
  • Depth: 32
  • Height: 235 mm
  • No of Pages: 558
  • Series Title: 18 Integrated Series in Information Systems
  • Sub Title: Knowledge Management and Data Mining for Homeland Security
  • Width: 155 mm
  • ISBN-10: 0387716122
  • Publisher Date: 02 Jul 2008
  • Binding: Hardback
  • Edition: 2008 ed.
  • Language: English
  • Returnable: Y
  • Spine Width: 28 mm
  • Weight: 1112 gr


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