IT training dark web exploring and data mining the dark side of the web chen 2011 12 23
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: IT training dark web exploring and data mining the dark side of the web chen 2011 12 23
IT training dark web exploring and data mining the dark side of the web chen 2011 12 23
Integrated Series in Information SystemsVolume 30Series EditorsRamesh ShardaOklahoma State University. Stillwater. OK. USAStefan VoBUniversity of Hamb IT training dark web exploring and data mining the dark side of the web chen 2011 12 23burg. Hamburg. GermanyFor further volumes:http://www.springer.com/seriesZ6157Hsinchun ChenDark WebExploring and Data Mining the Dark Side of the Web0 SpringerHsinchun ChenDepartment of Management Information SystemsUniversity ol ArizonaTuscon. .AZ. USAhchen@eller.arizona.eduISSN 1571-0270ISBN 978-1 IT training dark web exploring and data mining the dark side of the web chen 2011 12 23-4614-1556-5 e-ISBN 978-1 -4614-1557-2DOI 10.1007/978-1-4614-1557-2Springer New York Dordrecht Heidelberg LondonLibrary of Congress Conirol Number 201IT training dark web exploring and data mining the dark side of the web chen 2011 12 23
194161 I© Springer Scicncc+Busincss Media. LLC 2012All rights reserved. This work may not be translated or copied in whole or in part without the wriIntegrated Series in Information SystemsVolume 30Series EditorsRamesh ShardaOklahoma State University. Stillwater. OK. USAStefan VoBUniversity of Hamb IT training dark web exploring and data mining the dark side of the web chen 2011 12 23ection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden.The use in this publication of trade names, trademarks, ser IT training dark web exploring and data mining the dark side of the web chen 2011 12 23vice marks, and similar terms, even if they arc not identified as such, is not to be taken as an expression of opinion as to whether or not they arc sIT training dark web exploring and data mining the dark side of the web chen 2011 12 23
ubject to proprietary rights.Printed on acid-free paperSpringer is part of Springer Scicncc+Business Media (www.springcr.corn)PrefaceAimsThe UniversitIntegrated Series in Information SystemsVolume 30Series EditorsRamesh ShardaOklahoma State University. Stillwater. OK. USAStefan VoBUniversity of Hamb IT training dark web exploring and data mining the dark side of the web chen 2011 12 23ternational 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 multi IT training dark web exploring and data mining the dark side of the web chen 2011 12 23lingual data mining, text mining, and web mining techniques to perform link analysis, content analysis.ueb metrics (technical sophistication) analysisIT training dark web exploring and data mining the dark side of the web chen 2011 12 23
, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advaIntegrated Series in Information SystemsVolume 30Series EditorsRamesh ShardaOklahoma State University. Stillwater. OK. USAStefan VoBUniversity of Hamb IT training dark web exploring and data mining the dark side of the web chen 2011 12 23 international security and peace.Dark Web research has been featured in many national, international and local press and media, including: National Science Foundation press. Associated Press. BBC. Fox News, National Public Radio. Science News. Discover Magazine. Information Outlook, Wired Magazine, IT training dark web exploring and data mining the dark side of the web chen 2011 12 23 The Bulletin (Australian), Australian Broadcasting Corporation. Arizona Daily Star. East Valley Tribune. Phoenix ABC Channel 15. and Tucson ChannelsIT training dark web exploring and data mining the dark side of the web chen 2011 12 23
4, 6. and 9. As an NSF-funded research project, our research team has generated significant findings and publications in major computer science and inIntegrated Series in Information SystemsVolume 30Series EditorsRamesh ShardaOklahoma State University. Stillwater. OK. USAStefan VoBUniversity of Hamb IT training dark web exploring and data mining the dark side of the web chen 2011 12 23 the intelligence, justice, and defense communities.This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate research progress with selected techniques, methods, and case studies developed by the IT training dark web exploring and data mining the dark side of the web chen 2011 12 23University of Arizona Al Lab Dark Web team members.VIntegrated Series in Information SystemsVolume 30Series EditorsRamesh ShardaOklahoma State University. Stillwater. OK. USAStefan VoBUniversity of HambIntegrated Series in Information SystemsVolume 30Series EditorsRamesh ShardaOklahoma State University. Stillwater. OK. USAStefan VoBUniversity of HambGọi ngay
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