• DocumentCode
    534230
  • Title

    Humbling Analyzing the Application Algorithms of Credit Management System

  • Author

    Ningning, Gao

  • Author_Institution
    Inf. Eng. Coll., Central Univ. for Nat., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    432
  • Lastpage
    435
  • Abstract
    This paper is mainly about analysis on some application algorithms. In this 21st century, many challenges and opportunities can be seen in the area of higher education. And it is gradually getting popular that many students began to learn by themselves. Hence, under this background, a general design of Credit Management System is given in the paper, therefore, the application of decision tree algorithm and Knapsack problem algorithm are studied and applied in the system. These studies lead a personalized service of credit query, the professional elective course wizard and the cross-disciplinary elective course wizard, which are supported by the system. The system is expected to be helpful to those self-learning students as an accessory or a subsystem of a higher educational MIS.
  • Keywords
    computer aided instruction; decision trees; educational administrative data processing; further education; knapsack problems; Knapsack problem algorithm; credit management system; credit query service; cross disciplinary elective course wizard; decision tree algorithm; higher educational MIS; professional elective course wizard; self learning student; Algorithm design and analysis; Decision trees; Educational institutions; Heuristic algorithms; Prediction algorithms; Presses; MIS; credit management; decision tree; knapsack problem algorithm; personalized service; wizard;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.280
  • Filename
    5634989