• DocumentCode
    2293225
  • Title

    The Study of Fusing the Data Facing Environment Monitoring

  • Author

    Bin, Shao ; Yunliang, Jiang ; Yuan, Zhang

  • Author_Institution
    Sch. of Inf. Eng., Huzhou Teachers Coll., Huzhou
  • fYear
    2008
  • fDate
    22-24 Sept. 2008
  • Firstpage
    691
  • Lastpage
    695
  • Abstract
    Although the data fusion and data mining belong to the data processing technology, former researchers combine these technologies quite a few. In fact these technologies are nearly correlative, and both serve the goal of the knowledge detects. The target of data fusion is forming the data foundation of data mining, and the target of data mining is extracting the useful knowledge in the foundation of above data, to complete the knowledge detection. Therefore, our research´s aim is combining the two technologies, designs the valid algorithm to carry on the data mining in the foundation of data fusion, mainly on the artificial intelligence theory and the Bayes method, excavates the valid information in the data of environmental monitoring as far as possible.
  • Keywords
    Bayes methods; data mining; environmental science computing; sensor fusion; Bayes method; artificial intelligence theory; data fusion; data mining; environmental monitoring; knowledge detection; Data engineering; Data mining; Data processing; Educational institutions; Electronic mail; Feedback; Lakes; Monitoring; Object oriented modeling; Unified modeling language; data fusion; data mining; environmental monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyberworlds, 2008 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-3381-0
  • Type

    conf

  • DOI
    10.1109/CW.2008.130
  • Filename
    4741379