• DocumentCode
    2616529
  • Title

    Formal Concept Analysis for Data Mining: Theoretical and Practical Approaches

  • Author

    Silva, Joao Paulo Domingos ; Zarate, Luis Enrique ; Vieira, Newton Jose

  • Author_Institution
    Minas Gerais Fed. Univ.
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Knowledge discovery in databases (KDD) is the most widely known process with the purpose of knowledge extraction. Formal concept analysis (FCA) is proposed here as an alternative step in KDD process, due to its capacity of generating diagrams that facilitate data representation and analysis. FCA can perform the task of data mining (DM), supporting users in knowledge management. Both theoretical and practical aspects are presented here
  • Keywords
    data analysis; data mining; KDD process; data analysis; data mining; data representation; database knowledge discovery; formal concept analysis; knowledge extraction; knowledge management; Animals; Data analysis; Data mining; Databases; Delta modulation; Glands; Hair; Humans; Knowledge management; OWL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering of Intelligent Systems, 2006 IEEE International Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    1-4244-0456-8
  • Type

    conf

  • DOI
    10.1109/ICEIS.2006.1703148
  • Filename
    1703148
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2616529