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

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 net intelligence, and the way complex arithmetic and sleek computing expertise can impression the insights we've got on terrorist teams. This publication essentially makes a speciality of one well-known terrorist crew often called Lashkar-e-Taiba (or LeT), and the way it operates. After 10 years of counter Al Qaeda operations, enable is taken into account by means of many within the counter-terrorism neighborhood to be an excellent higher probability to the U.S. and global peace than Al Qaeda.

Computational research of Terrorist teams: Lashkar-e-Taiba is the 1st publication that demonstrates the right way to use glossy computational research strategies together with equipment for “big facts” research. This ebook offers the best way to quantify either the surroundings within which allow 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 refined information mining algorithms with the intention to achieve special, mathematical, computational and statistical insights into enable and its operations. This publication additionally presents a close background of Lashkar-e-Taiba in response to large research performed by utilizing open resource details and public statements. every one bankruptcy incorporates a case examine, in addition to a slide describing the main 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 presidency or army employees, researchers and machine scientists operating within the net intelligence box. Advanced-level scholars in laptop technology also will locate this important as a reference book.

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Extra resources for Computational Analysis of Terrorist Groups: Lashkar-e-Taiba: Lashkar-e-Taiba

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1 Origins and Overview 33 groups arose in the Indian-subcontinent in the late ninetenth century, they became more prominent starting in the 1980s, because they (along with the Deobandi groups) received state support from the Zia regime. The Ahl Hadith groups in Pakistan have also received funding from Saudi donors (Sikand 2007). LeT is one of 17 major Ahl Hadith organizations in Pakistan. Some of these groups participate in Pakistan’s political system, while others argue that Pakistan’s system is un-Islamic.

S. Treasury 2011a). Iqbal views himself as Saeed’s equal and has clashed with him over the group’s leadership. In 1999, they clashed when Saeed appointed Hafez Abdul Rehman Makki (the son of one of Saeed’s maternal uncles and the husband of one of Saeed’s younger sisters) as External Affairs chief (Tankel 2011a, b). While this conflict was averted through negotiations and Makki became External Affairs chief, another clash occurred in 2004 when Iqbal accused Saeed of preferring members of his Gujjar caste.

Pakistan’s drift into extremism: Allah, the Army, and America’s war on terror. E Sharpe. , & Subrahmanian, V. S. (1992). Combining knowledge bases consisting of first order theories. Computational Intelligence, 8(1), 45–71. BBC News. (2012). US Puts $10M bounty on Lashkar-e-Taiba’s Hafiz Saeed. , & Subrahmanian, V. S. (1994a). Implementing deductive databases by mixed integer programming. ACM Transactions on Database Systems, 21(2), 238–269.. , & Subrahmanian, V. S. (1994b). Mixed Integer methods for computing non-monotonic deductive databases.

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