Formal Concept Analysis for digital ecosystem

被引：0
|
作者：
Fu, Huaiguo [1 ]
机构：
[1] Waterford Inst Technol, Telecommun Software & Syst Grp, Waterford, Ireland
来源：
ICMLA 2006: 5TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Formal Concept Analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concept lattice, which is derived from mathematical order theory and lattice theory is the core of FCA. Man); research works of various areas show that concept lattices structures is an effective platform for data mining, machine learning, information retrieval, software engineer etc. This paper offers a brief overview of FCA and proposes to apply FCA as a tool for analysis and visualization of data in Digital ecosystem, and also discusses the applications of data mining for Digital ecosystem.
引用
收藏
页码：143 / 148
页数：6
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