Terrorism Informatics : Knowledge Management and Data Mining for Homeland Security
Autor: | Hsinchun Chen, Edna Reid, Joshua Sinai, Andrew Silke, Boaz Ganor |
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Předmět: | |
Kategorie: |
BUSINESS & ECONOMICS / Information Management, BUSINESS & ECONOMICS / E-Commerce / General, COMPUTERS / Database Administration & Management, COMPUTERS / Information Theory, COMPUTERS / Management Information Systems, COMPUTERS / Networking / General, POLITICAL SCIENCE / General, COMPUTERS / Electronic Commerce
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Popis: | 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. |
Databáze: | eBook Index |
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