• DocumentCode
    2580817
  • Title

    Cell Phones Price Forecast Based on Adaptive Sliding Windows

  • Author

    Yin, Yonghua ; Zong, Jiajun ; Zhu, Quanyin

  • Author_Institution
    Fac. of Comput. Eng., Huaiyin Inst. of Technol., Huaiyin, China
  • fYear
    2012
  • fDate
    19-22 Oct. 2012
  • Firstpage
    247
  • Lastpage
    250
  • Abstract
    Nowadays, the demand of people on the phones is very large. In order to help consumers have the better reference resources when they buy mobile phones, cell phones price forecasting on adaptive sliding windows is discussed in this paper. One year price for ten type´s mobile phone which extracted from www.360buy.com is used as the original data to forecast the price based on the adaptive sliding windows. According to this forecasting method, the experiments are implemented under the different sliding window width for different type´s cell phones depend on the accuracy rata. Comparing the experimental results with the original data, the forecast results are very satisfactory. And the forecasting average accuracy obtains 99.4 percent. Experiment results prove that the research is meaningful and useful and it is not only for consumers, but also for businesses in the cell phones market.
  • Keywords
    forecasting theory; mobile handsets; pricing; adaptive sliding windows; cell phones market; cell phones price forecasting; consumers; mobile phones; Adaptation models; Cellular phones; Computers; Data models; Forecasting; Mobile handsets; Predictive models; adaptive sliding windows; cell phones; linear backfilling; price forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4673-2630-8
  • Type

    conf

  • DOI
    10.1109/DCABES.2012.20
  • Filename
    6385282