漏出 发表于 2025-3-21 16:14:33
书目名称Intelligence and Security Informatics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469305<br><br> <br><br>书目名称Intelligence and Security Informatics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469305<br><br> <br><br>书目名称Intelligence and Security Informatics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469305<br><br> <br><br>书目名称Intelligence and Security Informatics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469305<br><br> <br><br>书目名称Intelligence and Security Informatics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469305<br><br> <br><br>书目名称Intelligence and Security Informatics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469305<br><br> <br><br>书目名称Intelligence and Security Informatics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469305<br><br> <br><br>书目名称Intelligence and Security Informatics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469305<br><br> <br><br>书目名称Intelligence and Security Informatics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469305<br><br> <br><br>书目名称Intelligence and Security Informatics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469305<br><br> <br><br>debouch 发表于 2025-3-21 23:39:25
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松软 发表于 2025-3-22 02:03:06
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 basMIME 发表于 2025-3-22 08:22:39
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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 19AMOR 发表于 2025-3-23 00:40:55
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