基于数据元标准与粗糙集的数据挖掘模型研究

Research on Data Mining Model Based on Data Element Standard and Rough Sets Theory

主要研究基于数据元的信息抽取技术及基于粗糙集的属性约简算法,在结合数据元规范及粗糙集数据处理特点的基础上,提出基于数据元标准与粗糙集的数据挖掘模型,充分发挥基于数据元标准的信息共享及粗糙集在处理不确定性数据方面的结合优势,并通过一规则挖掘实例对研究成果进行分析论证,达到较好的应用效果。

Focuses on the research on information extraction based on data element standard and the at- tribute reduction algorithm based on rough sets. Proposes the data mining model based on data element standards and rough sets, based on the characteristic of data processing combining the data element standard and rough sets. Makes good use of the advantages of the combination of infromation sharing based on data element standard and rough sets in processing non-deterministic data, makes analysis and discussion on the research result by using of a rule mining in- stance, gets a good result in application.