• DocumentCode
    3274594
  • Title

    Association rules expand technology research based on attributes

  • Author

    Zhang Chun-Sheng ; Zhuang Li-yan

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Inner Mongolia Univ. For Nat. Springfield, Tongliao, China
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    133
  • Lastpage
    135
  • Abstract
    In recent years, extension data mining technology research have arisen. However, the current extension data mining research only for the association rules proposition to simple mathematical transformation, not a fundamental breakthrough in the meaning of the original proposition. In view of the insufficiency of the current extension data mining research, this paper proposes association rules expand data mining technology based on attributes. Departure from the association rules, through the attribute expansion of rules to form a number of dimension tables. With a quick scan of the attributes in the dimension table, get deeper hidden association rules.
  • Keywords
    data mining; research and development; association rules; dimension tables; extension data mining technology research; rule attribute expansion; technology research; Business; Data mining; Springs; association rules; attribute; data mining; expand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4673-4997-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2013.6615272
  • Filename
    6615272