Terrorism Informatics Knowledge Management and Data Mining for Homeland Security pdf

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Terrorism Informatics Knowledge Management and Data Mining for Homeland Security by Hsinchun Chen, Edna Reid, Joshua Sinai, Andrew Silke and Boaz Ganor pdf

Terrorism Informatics Knowledge Management and Data Mining for Homeland Security by Hsinchun Chen, Edna Reid, Joshua Sinai, Andrew Silke and Boaz Ganor pdf free download.vTerrorism informatics is defined as the application of advanced methodologies and information fusion and analysis techniques to acquire, integrate, process, analyze, and manage the diversity of terrorism-related information for national/international and homeland security-related applications. These techniques are derived from disciplines such as computer science, informatics, statistics, mathematics, linguistics, social sciences, and public policy.

Terrorism Informatics Knowledge Management and Data Mining for Homeland Security by Hsinchun Chen, Edna Reid, Joshua Sinai, Andrew Silke and Boaz Ganor pdf

Because the study of terrorism involves copious amounts of information from multiple sources, data types, and languages, information fusion and analysis techniques such as data mining, data integration, language translation technologies, and image and video processing are playing key roles in the future prevention, detection, and 1 information fusion is defined as the use of computer technology to acquire data from many sources, integrate this data into usable and accessible forms, and interpret the results .

Terrorism Informatics Knowledge Management and Data Mining for Homeland Security by Hsinchun Chen, Edna Reid, Joshua Sinai, Andrew Silke and Boaz Ganor pdf

Although there has been substantial investment and research in the application of computer technology to terrorism, much of the literature in this emerging area is fragmented and often narrowly focused within specific domains such as engineering, computer science, computer security, information systems, knowledge management, and biomedicine. The goal of this edited volume is to present an interdisciplinary and understandable review of terrorism informatics work for homeland security along two dimensions: methodological issues in terrorism research, including information infusion techniques to support terrorism prevention, detection, and response; and legal, social, privacy, and data confidentiality challenges and approaches.

Terrorism Informatics Knowledge Management and Data Mining for Homeland Security by Hsinchun Chen, Edna Reid, Joshua Sinai, Andrew Silke and Boaz Ganor pdf

SCOPE AND ORGANIZATION This book has been grouped into two units. Unit I focuses on the methodological issues in terrorism research including trends, achievements and failures in terrorism research, methodological challenges in terrorism, challenges in retrieving and sharing terrorism information resources, and root causes of terrorism and the implications for terrorism informatics. It 1 2 Ibid, p. 166. remediation of terrorism.

Terrorism Informatics Knowledge Management and Data Mining for Homeland Security by Hsinchun Chen, Edna Reid, Joshua Sinai, Andrew Silke and Boaz Ganor pdf

Terrorism Informatics Knowledge Management and Data Mining for Homeland Security by Hsinchun Chen, Edna Reid, Joshua Sinai, Andrew Silke and Boaz Ganor pdf

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