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Title Indian Mujahideen : computational analysis and public policy / V.S. Subrahmanian, Aaron Mannes, Animesh Roul, R.K. Raghavan ; foreword by the Hon. Louis J. Freeh
Published Cham : Springer, 2013

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Description 1 online resource (xviii, 173 pages) : illustrations
Series Terrorism, security, and computation, 2197-8778
Terrorism, security, and computation. 2197-8778
Contents Indian Mujahideen (IM) -- Temporal Probabilistic Behavior Rules -- Targeting Public Sites -- Bombings -- Simultaneous and Timed Attacks -- Total Deaths in IM Attacks -- Computing Policy Options -- Suggested Counter-Terrorism Policies -- Building a National Counter-Terrorism Center -- Appendixes -- Data Methodology -- List of All Terrorist Attacks Carried out by IM -- Temporal Probabilistic Rules Presented in This Book -- Instances of Improved Diplomatic Relations between India and Pakistan -- Instances of Indian Mujahideen Conferences -- Indian Mujahideen Claims of Responsibility for Attacks -- Instances of Indian Mujahideen Communications about its Terror Campaign
Summary This book presents a study of the Indian Mujahideen (IM) group using modern computational analysis techniques, and explains how big data can improve counter-terrorism policies
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed November 11, 2013)
Subject Indian Mujahideen.
SUBJECT Indian Mujahideen fast
Subject Terrorism -- India -- Prevention
Data mining in law enforcement -- India
Islamic fundamentalism -- India
Data mining.
Computers -- statistics & numerical data
Data Mining
Dissent and Disputes -- ethnology
Terrorism -- prevention & control
POLITICAL SCIENCE -- Political Freedom & Security -- Civil Rights.
POLITICAL SCIENCE -- Political Freedom & Security -- Human Rights.
Data mining
Data mining in law enforcement
Islamic fundamentalism
Terrorism -- Prevention
SUBJECT India
Subject India
Form Electronic book
Author Subrahmanian, V. S., author.
ISBN 9783319028187
3319028189
3319028170
9783319028170