Synopsis
This book describes the Dark Web landscape of international terrorism, suggests a systematic, computational approach to understanding its problems, and presents techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team.
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Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems, 30)
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Springer, 2011
ISBN 10 : 146141556X
ISBN 13 : 9781461415565
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hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_403058696
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Dark Web (eng)
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Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems, 30)
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Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems, 30)
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Dark Web
Edité par
Springer New York, 2011
ISBN 10 : 146141556X
ISBN 13 : 9781461415565
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines and explains every aspect of an important ongoing research program in terrorism informatics Interdisciplinary perspective looks at three dimensions: methodological issues, database and computational techniques, and legal, social and priva. N° de réf. du vendeur 4197162
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Dark Web | Exploring and Data Mining the Dark Side of the Web
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Buch. Etat : Neu. Dark Web | Exploring and Data Mining the Dark Side of the Web | Hsinchun Chen | Buch | xxvi | Englisch | 2011 | Springer US | EAN 9781461415565 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 106852390
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Dark Web
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Springer New York, Springer US Dez 2011, 2011
ISBN 10 : 146141556X
ISBN 13 : 9781461415565
Neuf
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect 'ALL' web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace.This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monographcan also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 480 pp. Englisch. N° de réf. du vendeur 9781461415565
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Dark Web : Exploring and Data Mining the Dark Side of the Web
Edité par
Springer New York, Springer US, 2011
ISBN 10 : 146141556X
ISBN 13 : 9781461415565
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect 'ALL' web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace. This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy. N° de réf. du vendeur 9781461415565
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Dark Web: Exploring and Data Mining the Dark Side of the Web
Edité par
Springer-Verlag New York Inc, 2011
ISBN 10 : 146141556X
ISBN 13 : 9781461415565
Neuf
Couverture rigide
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 2012 edition. 477 pages. 9.50x6.25x1.25 inches. In Stock. N° de réf. du vendeur x-146141556X
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