基于大数据的典型社会安全事件预测预警技术研究

Research on Prediction and Early Warning Technology of Typical Social Security Events Based on Big Data

面向社会安全领域大数据应用需求,开展对基于大数据的社会安全事件预测预警方法的研究,突破传统的单一要素风险预警模式,通过典型事件的本体解析,对事件要素进行关联分析,提出社会安全事件特征模型构建方法;在此基础上,选取典型的社会安全事件,开展基于大数据的社会安全事件识别与预测预警技术研究,实现基于大数据的典型社会安全事件异常识别,提升社会安全风险的预测预警能力。

Be geared to the needs of big data application of social security,the early warning technology of social security events based on big data was studied. Traditional single factor risk early warning model was broken through. Based on the ontology analysis of typical events,the event elements was association analyzed. and A feature model construction method of social security event was proposed. On this basis,the recognition and prediction of social security event based on big data was researched by choosing some typical social security events. The recognition of typical social security event based big data was realized.The early warning and perdition ability of social security event was promoted.