• DocumentCode
    2616886
  • Title

    The Design of Equipment Support Manage System Based on Business Intelligence Technology

  • Author

    Zhu Min ; Shaoli Fan ; Ting, Wang

  • Author_Institution
    Dept. of Strategic Missile Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    120
  • Lastpage
    122
  • Abstract
    The problem of data procession in a majority of units isn´t the lake of data at present. The problem is large numbers of data redundancy and data disaccord. Data congesting comes forth in the units because of the contradiction between enormous data quantity and traditional data management plan. Therefore, equipment management system based on BI is brought forward in this article. Multi-view metadata management technology, data preprocessing technology, data mining technology, and individuation data exhibit technology is used to develop equipment support decision support system. The system includes equipment support distributing data mining, equipment management data multi-dimensional analysis and evaluation.
  • Keywords
    competitive intelligence; data mining; data warehouses; decision support systems; business intelligence technology; data mining; data multi-dimensional analysis; data redundancy; data warehouse; decision support system; equipment support manage system; Bismuth; Data analysis; Data mining; Data preprocessing; Data warehouses; Databases; Decision support systems; History; Lakes; Technology management; business intelligence; data mining; data warehouse; equipment support; on-line analytical processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.37
  • Filename
    5169554