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Book Cover

Title Handbook of computational approaches to counterterrorism / V.S. Subrahmanian, editor
Published New York, NY : Springer, [2013]
Online access available from:
Springer eBooks    View Resource Record  


Description 1 online resource (xvii, 578 pages) : illustrations (some color)
Contents DATA AND DATA ACQUISITION -- The Global Terrorism Database, 1970-2010 / Gary LaFree, Laura Dugan -- Automated Coding of Political Event Data / Philip A. Schrodt, David Van Brackle -- Automatic Extraction of Events from Open Source Text for Predictive Forecasting / Elizabeth Boschee, Premkumar Natarajan, Ralph Weischedel -- Automated Coding of Decision Support Variables / Massimiliano Albanese, Marat Fayzullin, Jana Shakarian, V.S. Subrahmanian -- BEHAVIORAL MODELS AND FORECASTING -- Qualitative Analysis & Computational Techniques for the Counter-Terror Analyst / Aaron Mannes -- SOMA: Stochastic Opponent Modeling Agents for Forecasting Violent Behavior / Amy Sliva, Gerardo Simari, Vanina Martinez, V.S. Subrahmanian -- Data-based Computational Approaches to Forecasting Political Violence / Philip A. Schrodt, James Yonamine, Benjamin E. Bagozzi
Using Hidden Markov Models to Predict Terror Before it Hits (Again) / Vladimir B. Petroff, Joe H. Bond, Doug H. Bond, Doug H. Bond -- Forecasting Group-Level Actions Using Similarity Measures / Gerardo I. Simari, Damon Earp, Maria Vanina Martinez, Amy Sliva, V.S. Subrahmanian -- Forecasting the Use of Violence by Ethno-Political Organizations: Middle Eastern Minorities and the Choice of Violence / Kihoon Choi, Victor Asal, Jonathan Wilkenfeld, Krishna R. Pattipati -- Forecasting Changes in Terror Group Behavior / Maria Vanina Martinez, Amy Sliva, Gerardo I. Simari, V.S. Subrahmanian -- Using Temporal Probabilistic Rules to Learn Group Behavior / John P. Dickerson, Gerardo I. Simari, V.S. Subrahmanian -- TERRORIST NETWORK ANALYSIS -- Leaderless Covert Networks: A Quantitative Approach / Bart Husslage, Roy Lindelauf, Herbert Hamers
Link Prediction in Highly Fractional Data Sets / Michael Fire, Rami Puzis, Yuval Elovici -- Data Analysis Based Construction and Evolution of Terrorist and Criminal Networks / Khaled Dawoud, Tamer N. Jarada, Wadhah Almansoori, Alan Chen, Shang Gao, Reda Alhajj -- CrimeFighter Investigator: Criminal Network Sense-Making / Rasmus Rosenqvist Petersen, Uffe Kock Wiil -- SYSTEMS, FRAMEWORKS, and CASE STUDIES -- The NOEM: A Tool for Understanding/ Exploring the Complexities of Today's Operational Environment / John J. Salerno, Jason E. Smith, Warren M. Geiler, Patrick K. McCabe -- A Multi-Method Approach for Near Real Time Conflict and Crisis Early Warning / Sean P. O'Brien -- A Realistic Framework for Counter-terrorism in Multimedia / Durat-ul-Ain Mirza, Nasrullah Memon
PROTECT in the Ports of Boston, New York and Beyond: Experiences in Deploying Stackelberg Security Games with Quantal Response / Eric Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule -- Government Actions in Terror Environments (GATE): A Methodology that Reveals how Governments Behave toward Terrorists and their Constituencies / Laura Dugan, Erica Chenoweth -- NEW DIRECTIONS -- A CAST Case-Study: Assessing Risk in the Niger Delta / Nate Haken, Patricia Taft, Raphaël Jaeger -- Policy Analytics Generation Using Action Probabilistic Logic Programs / Gerardo I. Simari, John P. Dickerson, Amy Sliva, V.S. Subrahmanian -- The Application of Search Games to Counter Terrorism Studies / Robbert Fokkink, Roy Lindelauf -- Temporal and Spatial Analyses for Large-Scale Cyber Attacks / Haitao Du, Shanchieh Jay Yang
Summary "Terrorist groups throughout the world have been studied primarily through the use of social science methods. However, major advances in IT during the past decade have led to significant new ways of studying terrorist groups, making forecasts, learning models of their behaviour, and shaping policies about their behaviour. Handbook of Computational Approaches to Counterterrorism provides the first in-depth look at how advanced mathematics and modern computing technology is shaping the study of terrorist groups. This book includes contributions from world experts in the field, and presents extensive information on terrorism data sets, new ways of building such data sets in real-time using text analytics, introduces the mathematics and computational approaches to understand terror group behaviour, analyzes terror networks, forecasts terror group behaviour, and shapes policies against terrorist groups. Auxiliary information will be posted on the book's website. This book targets defence analysts, counter terror analysts, computer scientists, mathematicians, political scientists, psychologists, and researchers from the wide variety of fields engaged in counter-terrorism research. Advanced-level students in computer science, mathematics and social sciences will also find this book useful."--Publisher's website
Analysis Computer science
Artificial intelligence
Social sciences -- Data processing
Probability and Statistics in Computer Science
Data Mining and Knowledge Discovery
Criminology & Criminal Justice
Computer Appl. in Social and Behavioral Sciences
Bibliography Includes bibliographical references
Notes English
Online resource; title from title page (viewed April 29, 2013)
Subject Terrorism -- Prevention -- Data processing -- Handbooks, manuals, etc.
Data mining -- Handbooks, manuals, etc.
Electronic Data Processing.
Data Mining.
Terrorism -- prevention & control.
Genre/Form Handbook.
Handbooks and manuals.
Handbooks and manuals.
Form Electronic book
Author Subrahmanian, V. S.
LC no. 2012952102
ISBN 9781461453116 (electronic bk.)
1461453119 (electronic bk.)
1283934027 (ebk)
9781283934022 (ebk)