By V.S. Subrahmanian,Aaron Mannes,Amy Sliva,Jana Shakarian,John P. Dickerson
Computational research of Terrorist teams: Lashkar-e-Taiba provides an in-depth examine internet intelligence, and the way complicated arithmetic and glossy computing expertise can effect the insights we have now on terrorist teams. This e-book basically focuses on one recognized terrorist workforce often called Lashkar-e-Taiba (or LeT), and the way it operates. After 10 years of counter Al Qaeda operations, allow is taken into account by way of many within the counter-terrorism neighborhood to be an excellent better risk to the U.S. and global peace than Al Qaeda.
Computational research of Terrorist teams: Lashkar-e-Taiba is the 1st booklet that demonstrates the way to use glossy computational research strategies together with equipment for “big info” analysis. This e-book provides find out how to quantify either the surroundings during which enable function, and the activities it took over a 20-year interval, and characterize it as a relational database desk. This desk is then mined utilizing subtle facts mining algorithms as a way to achieve targeted, mathematical, computational and statistical insights into allow and its operations. This ebook additionally presents an in depth historical past of Lashkar-e-Taiba according to vast research performed by way of utilizing open resource info and public statements. each one bankruptcy encompasses a case research, in addition to a slide describing the main effects that are on hand at the authors’ net sites.
Computational research of Terrorist teams: Lashkar-e-Taiba is designed for a certified marketplace composed of executive or army employees, researchers and machine scientists operating within the net intelligence box. Advanced-level scholars in laptop technology also will locate this precious as a reference book.
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