000 03236nam a22005175i 4500
001 978-1-4614-5311-6
003 DE-He213
005 20140220082819.0
007 cr nn 008mamaa
008 121211s2013 xxu| s |||| 0|eng d
020 _a9781461453116
_9978-1-4614-5311-6
024 7 _a10.1007/978-1-4614-5311-6
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aSubrahmanian, V.S.
_eeditor.
245 1 0 _aHandbook of Computational Approaches to Counterterrorism
_h[electronic resource] /
_cedited by V.S. Subrahmanian.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXVII, 578 p. 187 illus., 116 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aData and Data Acquisition -- Behavioral Models and Forecasting -- Terrorist Network Analysis -- Systems, Frameworks, and Case Studies -- New Directions.
520 _aTerrorist 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.
650 0 _aComputer science.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aSocial sciences
_xData processing.
650 0 _aCriminology.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aProbability and Statistics in Computer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aCriminology & Criminal Justice.
650 2 4 _aComputer Appl. in Social and Behavioral Sciences.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461453109
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-5311-6
912 _aZDB-2-SCS
999 _c95376
_d95376