• DocumentCode
    737062
  • Title

    The Study on Classification and Prediction for Data Mining

  • Author

    Lin, Cheng ; Yan, Fan

  • fYear
    2015
  • fDate
    13-14 June 2015
  • Firstpage
    1305
  • Lastpage
    1309
  • Abstract
    The information age needs to master the technique of data mining, the data were analyzed. The classification and prediction through data mining can grasp the basic trend of the development of the unknown data. In this paper, by decision tree, partition the steps of data classification refinement, through discussion on linear regression, multiple linear regression and non-linear regression forecast method, to deepen the understanding of the data prediction accuracy evaluation method, then introduces the classification and prediction of the similarities and differences by classification method.
  • Keywords
    Accuracy; Data mining; Data models; Decision trees; Linear regression; Predictive models; Training; Classification; Classification accuracy rate; Data mining; Decision tree; Forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
  • Conference_Location
    Nanchang, China
  • Print_ISBN
    978-1-4673-7142-1
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2015.318
  • Filename
    7263815