恐怖袭击事件不确定性度量及可视分析

近年来,全球范围内恐怖主义活动愈发频繁,已经严重影响了地区稳定和世界和平。随着信息技术的发展,研究者们得以从多个方面获取恐怖袭击事件信息。然而,随着数据集规模的不断扩大,如何从大量数据中发掘隐含的信息、分析其中包含的不确定性,成为恐怖袭击事件分析过程中的重要问题。针对全球恐怖主义数据库,基于可视分析和不确定度量理论,提出了数据记录和属性不确定性的度量及可视分析方法。通过将不确定性度量结果与平行坐标、柱状图、面积图和交互式方法相结合,在不影响数据源表达的同时清晰地展示了其中包含的不确定性,为下一步基于不确定性理论的态势评估提供了信息基础。

Uncertainty Measurement and Visual Analysis on Terroristic Attacks Data

In recent years , terroristic activities occur more frequently and have seriously affected the regional stability and the world peace.With the development of information technology , the researchers are able to obtain information of terroristic attacks from many aspects.However , with the constant enlargement of the scale of data sets , how to explore the underlying information and analyze the uncertainty from a large number of data has become an important issue in the analysis process of terroristic attacks. On Global Terrorism Database , based on visual analysis and uncertainty measurement theory , we propose the measurement and visual analysis methods on data records and uncertainty of attributes.By integrating results of uncertainty measurement with parallel coordinates , histogram , area chart and interactive methods , the data uncertainty is clearly displayed without influence on its representation and provides information base for situation assessment based on uncertainty theory the next step.