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Titlebook: Handbook of Computational Approaches to Counterterrorism; V.S. Subrahmanian Book 2013 Springer Science+Business Media New York 2013 Behavi

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發(fā)表于 2025-3-25 04:56:21 | 只看該作者
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發(fā)表于 2025-3-25 08:16:01 | 只看該作者
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發(fā)表于 2025-3-25 13:36:41 | 只看該作者
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發(fā)表于 2025-3-25 16:46:01 | 只看該作者
Automatic Extraction of Events from Open Source Text for Predictive Forecasting? (4) Topic-based event filtering: how well do systems filter out red herrings based on document topic, such as sports documents mentioning “clashes” between two countries on the playing field? (5) Domain shift: how well do event extraction models perform on data originating from diverse sources? In
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發(fā)表于 2025-3-25 22:44:38 | 只看該作者
26#
發(fā)表于 2025-3-26 04:01:51 | 只看該作者
Forecasting Group-Level Actions Using Similarity Measuresombings and armed attacks, as well as background information about the type of leadership, whether the group is involved in cross border violence, etc. Only a subset—around 43—of the approximately 175 attributes in the data represent strategic actions taken by the group, while the others represent v
27#
發(fā)表于 2025-3-26 08:12:55 | 只看該作者
Forecasting the Use of Violence by Ethno–Political Organizations: Middle Eastern Minorities and the al organizations in the Middle East to test factors that make it more or less likely that an organization will choose to use violence. While the variables on which data was collected were informed by theories of contentious politics, this chapter focuses primarily on the data itself and the forecast
28#
發(fā)表于 2025-3-26 08:54:50 | 只看該作者
Leaderless Covert Networks: A Quantitative Approachng community in the last decade. Among others, covert networks have been formally characterized by Tsvetovat and Carley[18], McAllister [13] and McCormick and Owen [14], and their optimal network structures have been analyzed and approximated by Lindelauf et al.[9] and Enders and Su [5]. Other appro
29#
發(fā)表于 2025-3-26 13:45:45 | 只看該作者
30#
發(fā)表于 2025-3-26 17:53:12 | 只看該作者
CrimeFighter Investigator: Criminal Network Sense-Makinguch as hypertext structure domains, semantic web concepts, known human-computer interaction metaphors, and a tailorable computational model rooted in a conceptual model defining first class entities that enable separation of structural and mathematical models.
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