• DocumentCode
    3467046
  • Title

    An novel data architecture for data taxonomy

  • Author

    Wu, Zhibin

  • Author_Institution
    Sch. of Accountancy, Jiangxi Univ. of Finance & Econ., Nanchang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    5-6 Dec. 2009
  • Firstpage
    327
  • Lastpage
    330
  • Abstract
    Data taxonomy is important in data mining. Many taxonomy algorithms often deal with some discrete data, so the paper puts forward a new taxonomy algorithm based on novel data architecture, it can classify the data with the continuous and discrete attribute. In order to advance the taxonomy validity and the efficiency, the paper codes with the compound data structure, and gets the discrete data by dispersing the continuous attribute data, then classifies them by the intrinsic nature of data based on data creation, which translate the problem of the mix-data classification into the combination optimize problem. The experiment results prove that the algorithm has a good effect and speediness.
  • Keywords
    data mining; data structures; meta data; compound data structure; continuous attribute; data architecture; data creation; data mining; data taxonomy; discrete attribute; Data mining; Data structures; Finance; Forward contracts; Information management; Inspection; Quality management; Semantic Web; Taxonomy; Testing; Data Architecture; Data Sharing; Data Taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test and Measurement, 2009. ICTM '09. International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4699-5
  • Type

    conf

  • DOI
    10.1109/ICTM.2009.5413041
  • Filename
    5413041