Computational Analysis of Terrorist Groups: Lashkar-e-Taiba by V.S. Subrahmanian,Aaron Mannes,Amy Sliva,Jana Shakarian,John

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 sleek computing know-how can impact the insights we have now on terrorist teams. This publication basically focuses  on one well-known terrorist staff referred to as Lashkar-e-Taiba (or LeT), and  the way it operates. After 10 years of counter Al Qaeda operations,  allow is taken into account via many within the counter-terrorism group to be a fair higher probability to the united states and international peace than Al Qaeda.

Computational research of  Terrorist teams: Lashkar-e-Taiba is the 1st ebook that demonstrates the right way to use sleek computational research concepts together with tools for “big information” analysis.  This ebook provides the best way to quantify either the surroundings during which enable function, and  the activities it took over a 20-year interval, and signify it as a relational database desk. This desk is then mined utilizing subtle information mining algorithms with the intention to achieve designated, mathematical, computational and statistical insights into enable and its operations. This e-book additionally offers a close  background of  Lashkar-e-Taiba according to large research carried out through  utilizing open resource info and public statements. each one bankruptcy incorporates a case learn, in addition to  a slide describing the foremost effects that are to be had at the authors’ net sites.

Computational research of  Terrorist teams: Lashkar-e-Taiba is designed for a certified industry composed of  executive or army employees, researchers  and desktop scientists operating within the net intelligence box. Advanced-level scholars in computing device technological know-how also will locate this invaluable as a reference book.

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