• DocumentCode
    2337804
  • Title

    The application of data association mining technology in university curriculum management

  • Author

    Shi, Feng ; Miao, Qi ; Mei, Di

  • Author_Institution
    Acad. Affair Office, Shenyang Aerosp. Univ., Shenyang, China
  • fYear
    2012
  • fDate
    3-5 June 2012
  • Firstpage
    521
  • Lastpage
    524
  • Abstract
    At present, data mining technology have a wide range of applications in business, finance and so on now, but less application in the field of education. In this paper through the analysis on the application of association rules in College curriculum setting in data mining technology, think that data mining can help teaching staff to arrange courses reasonable, scientific guidance for teaching and learning, on improving the teaching management of the school plays an important role.
  • Keywords
    data mining; educational administrative data processing; further education; teaching; college curriculum; course arrangement; data association mining technology; learning; scientific guidance; teaching management; teaching staff; university curriculum management; Robots; Algorithm; Association Rules; College Curriculum Settings; Data Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Applications (ISRA), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2205-8
  • Type

    conf

  • DOI
    10.1109/ISRA.2012.6219239
  • Filename
    6219239