Formal Concept Analysis for Digital Ecosystem

Huaiguo Fu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Machine Learning and Applications, ICMLA 2006
PublisherIEEE
Pages143-148
Number of pages6
VolumeWashin
ISBN (Print)0769527353, 9780769527352
DOIs
Publication statusPublished - 2006
Event5th International Conference on Machine Learning and Applications, ICMLA 2006 - Orlando, FL, United States
Duration: 14 Dec 200616 Dec 2006

Publication series

NameProceedings - 5th International Conference on Machine Learning and Applications, ICMLA 2006

Conference

Conference5th International Conference on Machine Learning and Applications, ICMLA 2006
Country/TerritoryUnited States
CityOrlando, FL
Period14/12/200616/12/2006

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