Computational Intelligence
Computational Intelligence
复制标题
计算智能
DOI：
10.1007/978-3-642-20206-3_2
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Shen Q
中科院分区：
文献类型：
--
作者：
Shen Q
智能数据分析在许多应用领域中起着重要的作用。特别是，对于侦查和预防包括恐怖主义活动在内的严重犯罪，情报数据的自动建模和分析具有重大的实际意义。这种智能分析系统将为情报分析人员提供有用的决策支持，提供一种有效的手段，在观察到可能不准确和/或不确定的情况下评估可能的情况。因此，对情报数据进行明智的分析将有助于在制定和部署预防措施方面作出迅速反应。本文提出了一个初步的方法，开发一个通用的框架，集成智能数据分析的关键组件系统，重点是智能数据的应用程序。它描述了重要的组件系统的功能，并介绍了示例技术，是有用的，以实现这样的系统。本文还讨论了进一步开展相关研究的主要挑战和机遇。
Intelligent data analysis plays an important role in many application domains. In particular, for detection and prevention of serious crime, including terrorist activity, automated modelling and analysis of intelligence data is of great practical significance. Such an intelligent analysis system will provide useful decision support for intelligence analysts, offering an effective means in the assessment of possible scenarios given observations which may be imprecise and/or uncertain. Intelligent analysis of intelligence data will therefore help to facilitate rapid response in devising and deploying preventive measures. This paper presents an initial approach to the development of a general framework that integrates key component systems for intelligent data analysis, with an application focus on intelligence data. It describes the functionalities of the important component systems and introduces example techniques that are useful to implement such systems. The paper also discusses major challenges and opportunities for further relevant research.