Formal Concept Analysis for Digital Ecosystem

Huaiguo Fu
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引用次数: 14

Abstract

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. Many 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
数字生态系统的形式概念分析
形式概念分析(FCA)是数据分析和知识发现的有效工具。概念格是FCA的核心,它衍生自数学序理论和格理论。许多领域的研究表明,概念格结构是数据挖掘、机器学习、信息检索、软件工程等领域的有效平台。本文简要介绍了FCA的研究概况,提出将FCA作为数字生态系统中数据分析和可视化的工具,并讨论了数据挖掘在数字生态系统中的应用
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