管理不一致的情报
Managing Inconsistent Intelligence
摘要：
在本文中，我们证明了它是可能的，在恒定的时间管理情报作为一个预处理信息融合通过一系列的过程处理的问题，如聚类报告，排名报告的重要性，提取的原型集群和立即分类的新到达的情报报告。这些方法用于收到涉及不同事件的情报报告，而这些情报报告应单独处理，而且事先不知道每份情报报告与哪一事件有关。我们使用作为后端过程运行的聚类将智能划分为代表事件的子集，并且并行地，作为前端过程运行的快速分类，以便将新到达的智能放入其正确的信息融合过程。
英文摘要：
In this paper we demonstrate that it is possible to manage intelligence in constant time as a pre-process to information fusion through a series of processes dealing with issues such as clustering reports, ranking reports with respect to importance, extraction of prototypes from clusters and immediate classification of newly arriving intelligence reports. These methods are used when intelligence reports arrive which concerns different events which should be handled independently, when it is not known a priori to which event each intelligence report is related. We use clustering that runs as a back-end process to partition the intelligence into subsets representing the events, and in parallel, a fast classification that runs as a front-end process in order to put the newly arriving intelligence into its correct information fusion process.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
