摘要
基于粒度计算在理论上对数据分类问题进行建模研究。引入全粒度空间的概念,给出了集合的粒度表示、概念学习在粒度计算理论中的解释,从而得到数据分类问题的机理分析;最后导出了基于数据分类的知识发现模型,为知识发现面临的问题提供解决的理论依据,也为进一步研究奠定了重要的理论基础。
Problem of data classification was theoretically studied based on Granular Computing （GrC）. Concept of AllGS （All-Granular-Space） was first introduced, and then with GrC a set of data was expressed in granulation, and concept learning was rationally explained, which lead to analysis of mechanism of data classification. At last, KDD modeling of data classification was educed, with which a theoretical basis was given to facing-problem-solving of KDD, and a solid foundation was also laid for further research.
出处
《计算机应用研究》
CSCD
北大核心
2007年第3期37-40,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(60234030)
广西大学科研基金项目(DD60004)
湖南省教育厅资助项目(02C589)
