Attribute Transfer and Knowledge Discovery Based on Formal Context

被引：0
|
作者：
Zheng, Shiyuan [1 ]
Zhao, Zhihan [1 ]
Zheng, Shufu [1 ]
机构：
[1] Sanming Univ, Sch Informat Engn, Sanming 365004, Fujian, Peoples R China
来源：
PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON COMPUTER AND MULTIMEDIA TECHNOLOGY, ICCMT 2024 | 2024年
关键词：
formal context; information entropy; relative entropy; attribute transfer; attribute knowledge; REDUCTION;
D O I：
10.1145/3675249.3675262
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Concept lattice theory is a very effective tool to represent knowledge and discover knowledge; it establishes the quintessential framework for the delineation, excavation, and assimilation of knowledge. Based on the theory of granularity of formal context, information entropy and the relative entropy of attributes, the present document discusses the characteristics of attributes knowledge transfer of formal context, the principles of attribute knowledge transfer from formal context, and the new formal context of adding attribute knowledge. And based on formal context New Knowledge Discovery and application.
引用
收藏
页码：75 / 78
页数：4
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