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Titlebook: Intelligence and Security Informatics; International Worksh Hsinchun Chen,Fei-Yue Wang,Kuiyu Chang Conference proceedings 2006 Springer-Ver

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发表于 2025-3-21 16:14:33 | 显示全部楼层 |阅读模式
书目名称Intelligence and Security Informatics
副标题International Worksh
编辑Hsinchun Chen,Fei-Yue Wang,Kuiyu Chang
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligence and Security Informatics; International Worksh Hsinchun Chen,Fei-Yue Wang,Kuiyu Chang Conference proceedings 2006 Springer-Ver
描述Intelligence and security informatics (ISI) can be broadly defined as the study of the development and use of advanced information technologies and systems for national and international security-related applications. The First and Second Symposiums on ISI were held in Tucson, Arizona, in 2003 and 2004, respectively. In 2005, the IEEE International Conference on ISI was held in Atlanta, Georgia. These ISI conferences brought together academic researchers, law enforcement and intelligence experts, information technology consultants and practitioners to discuss their research and practice related to various ISI topics including ISI data management, data and text mining for ISI applications, terrorism informatics, deception detection, terrorist and criminal social network analysis, crime analysis, monitoring and surveillance, policy studies and evaluation, and information assurance, among others. We continued these stream of ISI conferences by organizing the Workshop on Intelligence and Security Informatics (WISI 2006) in conjunction with the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006). WISI 2006 provided a stimulating forum for ISI researchers in Pacif
出版日期Conference proceedings 2006
关键词access control; biometrics; crime analysis; data analysis; data mining; deception detection; homeland secu
版次1
doihttps://doi.org/10.1007/11734628
isbn_softcover978-3-540-33361-6
isbn_ebook978-3-540-33362-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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Multi-lingual Detection of Terrorist Content on the Webterrorist-related content in multiple languages can be extremely useful. In this paper we describe a new, classification-based approach to multi-lingual detection of terrorist documents. The proposed approach builds upon the recently developed graph-based web document representation model combined w
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INEXT: An Investigative Search Tool for Knowledge Extractionks. Given a set of seed entities, INEXT conducts information extraction on the documents, and ranks them based on the amount of novel entities and relations they contain. With users interacting with INEXT throughout the search process, documents are re-ranked to identify other relevant documents bas
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Detecting Novel Network Attacks with a Data Fieldtrusion detection often suffers from an ineffectivity to those previously “unseen” attacks. In this paper, we analyze the network intrusions from a new viewpoint based on data field and propose branch and bound tree to lessen computation complexity. Finally, we evaluated our approach over KDD Cup 19
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