Dark Web Exploring Data by Chen Hsinchun (10 results)
Language: English
Published by Springer, 2014
Series: Integrated Series in Information Systems, Book 28 of 40. Book 28 of 40 - Integrated Series in Information Systems
- Softcover
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paperback. Condition: Gut. 480 Seiten; 9781489992864.3 Gewicht in Gramm: 1.
Language: English
Published by Springer, 2011
Series: Integrated Series in Information Systems, Book 28 of 40. Book 28 of 40 - Integrated Series in Information Systems
- Hardcover
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Language: English
Published by Springer, 2014
Series: Integrated Series in Information Systems, Book 28 of 40. Book 28 of 40 - Integrated Series in Information Systems
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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More imagesLanguage: English
Published by Springer US, 2014
Series: Integrated Series in Information Systems, Book 28 of 40. Book 28 of 40 - Integrated Series in Information Systems
- Softcover
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Taschenbuch. Condition: Neu. Dark Web | Exploring and Data Mining the Dark Side of the Web | Hsinchun Chen | Taschenbuch | xxvi | Englisch | 2014 | Springer US | EAN 9781489992864 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: p…reigu.
Language: English
Published by Springer New York, Springer New York, 2014
Series: Integrated Series in Information Systems, Book 28 of 40. Book 28 of 40 - Integrated Series in Information Systems
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: 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.
Language: English
Published by Springer New York, Springer US, 2011
Series: Integrated Series in Information Systems, Book 28 of 40. Book 28 of 40 - Integrated Series in Information Systems
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: 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 ai…m 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.
Language: English
Published by Springer-Verlag New York Inc, 2014
Series: Integrated Series in Information Systems, Book 28 of 40. Book 28 of 40 - Integrated Series in Information Systems
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 480 pages. 9.25x6.10x1.13 inches. In Stock.
Language: English
Published by Springer-Verlag New York Inc, 2011
Series: Integrated Series in Information Systems, Book 28 of 40. Book 28 of 40 - Integrated Series in Information Systems
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 2012 edition. 477 pages. 9.50x6.25x1.25 inches. In Stock.
Language: English
Published by Springer, 2014
Series: Integrated Series in Information Systems, Book 28 of 40. Book 28 of 40 - Integrated Series in Information Systems
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Paperback. Condition: Like New. Like New. book.
More imagesLanguage: English
Published by Springer US, 2011
Series: Integrated Series in Information Systems, Book 28 of 40. Book 28 of 40 - Integrated Series in Information Systems
- Hardcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
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Buch. Condition: 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.
