• DocumentCode
    2970908
  • Title

    Formal Concept Analysis for Digital Ecosystem

  • Author

    Fu, Huaiguo

  • Author_Institution
    Telecommun. Software & Syst. Group, Waterford Inst. of Technol.
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    143
  • Lastpage
    148
  • 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
  • Keywords
    data analysis; data mining; data visualisation; data analysis; data mining; data visualization; digital ecosystem; formal concept analysis; information retrieval; knowledge discovery; lattice theory; machine learning; mathematical order theory; software engineer; Application software; Association rules; Data analysis; Data mining; Ecosystems; Information management; Information retrieval; Knowledge representation; Lattices; Machine learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications, 2006. ICMLA '06. 5th International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7695-2735-3
  • Type

    conf

  • DOI
    10.1109/ICMLA.2006.24
  • Filename
    4041483
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2970908