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
Link To Document