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Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security. 2008 ed.
・ISBN 978-1-4899-9814-9 paper EUR 109.99
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| 著者・編者 | Chen, Hsinchun / Reid, Edna / Sinai, Joshua / Silke, Andrew / Ganor, Boaz (eds.), |
|---|---|
| シリーズ | (Integrated Series in Information Systems) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2014 |
| ページ数 | 558 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-51849> |
解説
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.