The Resource Handbook of computational approaches to counterterrorism, V.S. Subrahmanian, editor
Handbook of computational approaches to counterterrorism, V.S. Subrahmanian, editor
Resource Information
The item Handbook of computational approaches to counterterrorism, V.S. Subrahmanian, editor represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Handbook of computational approaches to counterterrorism, V.S. Subrahmanian, editor represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- 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
- Language
- eng
- Extent
- 1 online resource (xvii, 578 pages)
- Contents
-
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Isbn
- 9781461453109
- Label
- Handbook of computational approaches to counterterrorism
- Title
- Handbook of computational approaches to counterterrorism
- Statement of responsibility
- V.S. Subrahmanian, editor
- Subject
-
- Artificial intelligence.
- Computer Appl. in Social and Behavioral Sciences.
- Computer science.
- Criminology & Criminal Justice.
- Data Mining
- Data Mining and Knowledge Discovery.
- Data mining
- Data mining
- Data mining -- Handbooks, manuals, etc
- Electronic Data Processing
- Handbook
- Handbooks and manuals
- Handbooks and manuals
- POLITICAL SCIENCE -- Political Freedom & Security | Terrorism
- Probability and Statistics in Computer Science.
- Social sciences -- Data processing.
- Terrorism -- Prevention | Data processing -- Handbooks, manuals, etc
- Terrorism -- prevention & control
- Language
- eng
- 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
- Cataloging source
- GW5XE
- Dewey number
- 363.325/170285
- Illustrations
- illustrations
- Index
- no index present
- Language note
- English
- LC call number
- HV6431
- LC item number
- .H36 2013
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- handbooks
- NLM call number
- HV 6431
- http://library.link/vocab/relatedWorkOrContributorName
- Subrahmanian, V. S
- http://library.link/vocab/subjectName
-
- Terrorism
- Data mining
- Electronic Data Processing
- Data Mining
- Terrorism
- POLITICAL SCIENCE
- Data mining
- Label
- Handbook of computational approaches to counterterrorism, V.S. Subrahmanian, editor
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Control code
- 823158145
- Dimensions
- unknown
- Extent
- 1 online resource (xvii, 578 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781461453109
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4614-5311-6
- Other physical details
- illustrations (some color)
- http://library.link/vocab/ext/overdrive/overdriveId
- 424652
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)823158145
- Label
- Handbook of computational approaches to counterterrorism, V.S. Subrahmanian, editor
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Control code
- 823158145
- Dimensions
- unknown
- Extent
- 1 online resource (xvii, 578 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781461453109
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4614-5311-6
- Other physical details
- illustrations (some color)
- http://library.link/vocab/ext/overdrive/overdriveId
- 424652
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)823158145
Subject
- Artificial intelligence.
- Computer Appl. in Social and Behavioral Sciences.
- Computer science.
- Criminology & Criminal Justice.
- Data Mining
- Data Mining and Knowledge Discovery.
- Data mining
- Data mining
- Data mining -- Handbooks, manuals, etc
- Electronic Data Processing
- Handbook
- Handbooks and manuals
- Handbooks and manuals
- POLITICAL SCIENCE -- Political Freedom & Security | Terrorism
- Probability and Statistics in Computer Science.
- Social sciences -- Data processing.
- Terrorism -- Prevention | Data processing -- Handbooks, manuals, etc
- Terrorism -- prevention & control
Genre
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Handbook-of-computational-approaches-to/j-o-h-tU2uE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Handbook-of-computational-approaches-to/j-o-h-tU2uE/">Handbook of computational approaches to counterterrorism, V.S. Subrahmanian, editor</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
