000			05274nam a22005415i 4500
001			978-0-387-71613-8
003			DE-He213
005			20250710084013.0
007			cr nn 008mamaa
008			100301s2008 xxu| s |||| 0|eng d
020			_a9780387716138 _a99780387716138
024	7		_a10.1007/978-0-387-71613-8 _2doi
082	0	4	_a650 _223
100	1		_aChen, Hsinchun. _eeditor.
245	1	0	_aTerrorism Informatics _h[recurso electrónico] : _bKnowledge Management and Data Mining for Homeland Security / _cedited by Hsinchun Chen, Edna Reid, Joshua Sinai, Andrew Silke, Boaz Ganor.
264		1	_aBoston, MA : _bSpringer US, _c2008.
300			_aXLII, 558 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aIntegrated Series In Information Systems, _x1571-0270 ; _v18
505	0		_aMethodological Issues in Terrorism Research -- Domain Mapping of Contemporary Terrorism Research -- Research on Terrorism -- Who Are the Key Figures in 'Terrorism Studies'? -- Interviewing Terrorists -- Resolving a Terrorist Insurgency by Addressing Its Root Causes -- A Quantitative Analysis of 'Root Causes of Conflict' -- Countering Terrorism with Knowledge -- Toward a Target-specific Method of Threat Assessment -- Identifying and Exploiting Group Learning Patterns for Counterterrorism -- Homeland Insecurity -- Terrorism Informatics to Support Prevention, Detection, and Response -- Case Study of Jihad on the Web -- Studying Global Extremist Organizations' Internet Presence Using the DarkWeb Attribute System -- Content Analysis of Jihadi Extremist Groups' Videos -- Analysis of Affect Intensities in Extremist Group Forums -- Document Selection for Extracting Entity and Relationship Instances of Terrorist Events -- Data Distortion Methods and Metrics in a Terrorist Analysis System -- Content-Based Detection of Terrorists Browsing the Web Using an Advanced Terror Detection System (ATDS) -- Text Mining the Biomedical Literature for Identification of Potential Virus/Bacterium as Bio-Terrorism Weapons -- Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content -- Individual and Collective Analysis of Anomalies in Message Traffic -- Addressing Insider Threat through Cost-Sensitive Document Classification -- Using Web Mining and Social Network Analysis to Study The Emergence of Cyber Communities In Blogs -- Automatic Extraction of Deceptive Behavioral Cues from Video -- Situational Awareness Technologies for Disaster Response.
520			_aTerrorism informatics has been defined as the application of advanced methodologies, information fusion and analysis techniques to acquire, integrate process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The wide variety of methods used in terrorism informatics are derived from Computer Science, Informatics, Statistics, Mathematics, Linguistics, Social Sciences, and Public Policy and these methods are involved in the collection of huge amounts of information from varied and multiple sources and of many types in numerous languages. Information fusion and information technology analysis techniques-which include data mining, data integration, language translation technologies, and image and video processing-play central roles in the prevention, detection, and remediation of terrorism. Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security will provide an interdisciplinary and comprehensive survey of the state-of-the-art in the terrorism informatics domain along three basic dimensions: methodological issues in terrorism research; information infusion techniques to support terrorism prevention, detection, and response; and legal, social, privacy, and data confidentiality challenges and approaches. Featuring contributions by leading researchers and practitioners, illustrative case studies, and applications of terrorism informatics techniques, the book will be an essential resource for scientists, security professionals, counterterrorism experts, and policy makers.
650		0	_aECONOMICS.
650		0	_aDATA STRUCTURES (COMPUTER SCIENCE).
650		0	_aINFORMATION SYSTEMS.
650		0	_aMANAGEMENT INFORMATION SYSTEMS.
650		0	_aPOLITICAL SCIENCE.
650	1	4	_aECONOMICS/MANAGEMENT SCIENCE.
650	2	4	_aBUSINESS INFORMATION SYSTEMS.
650	2	4	_aDATA STRUCTURES, CRYPTOLOGY AND INFORMATION THEORY.
650	2	4	_aINFORMATION SYSTEMS AND COMMUNICATION SERVICE.
650	2	4	_aE-COMMERCE/E-BUSINESS.
650	2	4	_aPOLITICAL SCIENCE.
700	1		_aReid, Edna. _eeditor.
700	1		_aSinai, Joshua. _eeditor.
700	1		_aSilke, Andrew. _eeditor.
700	1		_aGanor, Boaz. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387716121
830		0	_aIntegrated Series In Information Systems, _x1571-0270 ; _v18
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-71613-8 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBE
942			_2ddc _cER
999			_c58268 _d58268