• DocumentCode
    3167332
  • Title

    Advancing Knowledge Discovery and Data Mining

  • Author

    Luo, Qi

  • Author_Institution
    Wuhan Inst. of Technol., Wuhan
  • fYear
    2008
  • fDate
    23-24 Jan. 2008
  • Firstpage
    3
  • Lastpage
    5
  • Abstract
    Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statistics, knowledge acquisition, data visualization, and high performance computing. Knowledge discovery and data mining can be extremely beneficial for the field of Artificial Intelligence in many areas, such as industry, commerce, government, education and so on. The relation between Knowledge and Data Mining, and Knowledge Discovery in Database (KDD) process are presented in the paper. Data mining theory, Data mining tasks, Data Mining technology and Data Mining challenges are also proposed. This is an belief abstract for an invited talk at the workshop.
  • Keywords
    data mining; artificial intelligence; data mining; data visualization; high performance computing; knowledge acquisition; knowledge discovery; machine learning; Artificial intelligence; Data mining; Data visualization; High performance computing; Industrial relations; Knowledge acquisition; Machine learning; Mining industry; Statistics; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-0-7695-3090-1
  • Type

    conf

  • DOI
    10.1109/WKDD.2008.153
  • Filename
    4470338