基于规则型挖掘的油料装备知识发现研究

在基于知识的油料装备设计过程中,利用知识发现的方法实现油料装备知识的自我繁衍,对丰富油料装备知识库,提高油料装备的自动化设计水平具有重要意义。运用规则型挖掘技术中的Apriori算法挖掘出油料装备功能性需求数据中的关联规则,并将其存入知识库。这些关联规则,直接揭示了隐含在油料装备功能需求数据间的规律,为油料装备的功能设计决策提供了依据。

Mining Based on Rule-based Knowledge Discovery Oil Equipment

Knowledge-based oil equipment design process,using knowledge discovery methos to achieve oil self-reproduction equipment knowledge,knowledge of the rih oil equipment,oil equipment to improve the design level of automation is important.In this regard,the use of rule-based mining technology in the Apriori algorithm for mining the oil equipment functional requirements in the data association rules,and store them in knowledge base.These association rules,directly revea the functional requirements implicit in the oil equipment rules among the data,the function of equipment for the oil provided the basis for design decisions.