• DocumentCode
    2950721
  • Title

    Application Analysis of Clementine-Based Data Mining Algorithm

  • Author

    Ansheng, Lu

  • Author_Institution
    Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
  • fYear
    2011
  • fDate
    20-21 Aug. 2011
  • Firstpage
    479
  • Lastpage
    482
  • Abstract
    This paper presents a case of application of data mining of intentional house purchase factors. The data were collected from the Wuhan Real Estate Bureau by questionnaire. With a focus on data mining process, we analyze the data mining model and its application based on Clementine package.
  • Keywords
    data mining; purchasing; real estate data processing; Clementine-based data mining algorithm; Wuhan Real Estate Bureau; intentional house purchase factor; Analytical models; Association rules; Data models; Logistics; Regression tree analysis; Apriori; C5 decision tree; Data mining; Logistic; intention of house purchasing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-0960-9
  • Electronic_ISBN
    978-0-7695-4480-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2011.76
  • Filename
    5997487
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2950721