军事想定数据挖掘技术研究

针对当前作战仿真领域中存在的不能充分理解和使用想定的问题,根据作战仿真工程的需要,提出了一种利用数据挖掘技术帮助理解和使用想定数据的方案.对想定数据的挖掘是文本挖掘的具体应用,其基本过程包括建立语料库、增加词典库、确立特征匹配规则、设计分类学习算法、形式化描述挖掘结果等五个步骤,设计了想定挖掘的工作流程,确定了想定挖掘的基本目标,并根据挖掘过程的特点和技术需求探讨了想定挖掘面临的各项关键技术,对进一步实施想定挖掘的研究具有重要意义.

Research on Data Mining for Military Scenario

Owing to the lack of enough military knowledge, the researchers usually cannot grasp the major idea in the warfare scenario. Therefore, according to the requirement of warfare simulation, a new means using the data mining technology was put forward to make it. The data mining for warfare scenario is based on the theory of text mining. The basic progress includes building phraseology category, building dictionary category, establishing character matching rules, designing classified learning arithmetic and formalizing the result. Then the work flow was designed and the goals were fixed one by one. The involved pivotal technology was discussed in detail according to the character and technology requirement of the mining progress. This means will become more and more important in the field of warfare scenario analysis in future.