• DocumentCode
    2339631
  • Title

    Research on the key technologies of coal production statistical system based on the decision tree

  • Author

    Gong, Bingjiang ; Bai, Dongyan

  • Author_Institution
    Coll. of Inf. & Electr. Eng., Hebei Univ. of Eng., Handan, China
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    2607
  • Lastpage
    2611
  • Abstract
    According to production statistic work for coal enterprise developing present situation and actual application situation in our country now , the production statistic system for coal enterprise, based the C/S and B/S unify composite structure model, has been proposed in this paper. The system use the exploitation method of combining SAD and object oriented. It has realized many essential functions, such as the technical specification dynamic management, the integrated information intelligence analysis, the report form continual calculation and the printing, the data balancing and so on. In addition, decision tree algorithm of data mining technology is introduced in the system to establish a mine effective decision-making model, which realizes the evaluation of the mine effectiveness.
  • Keywords
    coal; data mining; decision making; decision trees; mining industry; object-oriented methods; statistical analysis; coal production statistical system; data balancing; data mining technology; decision tree algorithm; decision-making model; integrated information intelligence analysis; object oriented method; specification dynamic management; Data mining; Decision trees; Design engineering; Educational institutions; Information analysis; Object oriented modeling; Production systems; Prototypes; Statistics; System analysis and design; coal enterprise; composite structure; decision tree; intelligent analysis; object-oriented;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138679
  • Filename
    5138679