By Ophir Frieder (auth.), Shlomo Argamon, Newton Howard (eds.)
Modern terrorist networks pose an unheard of chance to overseas safety. Their fluid and non-hierarchical buildings, their spiritual and ideological motivations, and their predominantly non-territorial goals all greatly complicate the query of ways to neutralize them. As governments and militaries paintings to plot new guidelines and doctrines to wrestle terror, new applied sciences are desperately had to make those efforts potent.
This e-book collects a variety of the most up-tp-date computational learn addressing serious matters for counterterrorism in a dynamic and intricate hazard environment:
- finding, summarizing, and comparing appropriate info from huge and dynamic facts stores;
- simulation and prediction of most likely enemy activities and the consequences of proposed counter-efforts; and
- producing actionable intelligence by way of discovering significant styles hidden in plenty of noisy facts items.
The contributions are equipped thematically into 4 sections. the 1st part matters efforts to supply potent entry to small quantities of correct details buried in huge, immense quantities of numerous unstructured information. the second one part discusses equipment for the foremost challenge of extracting significant details from digitized records in quite a few languages. The 3rd part provides study on examining graphs and networks, delivering new methods of researching hidden constructions in information and profiles of adversaries’ objectives and intentions. ultimately, the fourth portion of the booklet describes software program platforms that allow analysts to version, simulate, and expect the consequences of real-world conflicts.
The types and techniques mentioned during this ebook are priceless analyzing for governmental decision-makers designing new regulations to counter terrorist threats, for participants of the army, intelligence, and legislation enforcement groups devising counterterrorism recommendations in accordance with new applied sciences, and for tutorial and commercial researchers devising more suitable equipment for wisdom discovery in advanced and numerous datasets.
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The following are some of the key events in his life. Mandela joins the African National Congress at age 26, later becoming president of the group’s Youth League. When the National Party comes to power in 1948, the ANC begins planning a campaign of civil disobedience to ﬁght the party’s apartheid policy. April-June, 1964 Mandela and seven others are sentenced to life in prison. December, 1989 President Frederik W. de Klerk meets Mandela for the ﬁrst time. World leaders welcomed South Africa’s announcement Saturday of Nelson R.
Transition Feature Description Relative location Assigned weights based on the relative location top/bottom or right/left The convex hull distance between the 2 patches The ratio of the aspect ratio values of the 2 patches The ratio of the number of components present in the 2 patches Convex hull distance Ratio of aspect ratio Ratio of number of components Fig. 2. Sample signature extraction results (a) Step 1: Feature extraction; (b) Step 2: Classiﬁcation; (c) Step 3: Post-processing. 1. Randomly assign labels to each of the patches in a document based on an intuitive prior distribution of the labels.
2004) and expanded into an intelligence analysis framework (Santos et al. 2005). In summary, we applied DGs to various systems for the purposes of capturing and representing the content of documents, queries, and context information in our user model, as well as for similarity comparison. In this study, DGs are used to analyze the contents of the summaries. 3 What Makes a Good Summary? 37 Document graph (DG) A DG is a directed graph of concepts/entities and the relations between them. It contains two kinds of nodes, concept/entity nodes and relation nodes.