Title :
Research on the Price Forecast without Complete Data Based on Web Mining
Author :
Zhu, Quanyin ; Cao, Sunqun ; Ding, Jin ; Han, Zhengyin
Author_Institution :
Fac. of Comput. Eng., Huaiyin Inst. of Technol., Huaiyin, China
Abstract :
The commodities price evolution is a very interesting data for shopkeepers selling online. By using the Web mining can get more and more data in everywhere such as e-supermarkets and e-commerce. This paper shows a case study for the price extracting of mobile phone selling online. Extracting the commodities price to get the price trend using the uncompleted data is researched. The forecast algorithm is described in detailed. The functions coded by PHP are designed for implantation the price extracting. Experiment demonstrates its performance and proves price evolution is meaningful and useful for the shopkeepers selling online.
Keywords :
Internet; data mining; forecasting theory; pricing; Web Mining; complete data; e-commerce; e-supermarkets; price evolution; price forecast; Equations; Forecasting; Indexes; Mathematical model; Mobile handsets; Web mining; Yttrium; Web mining; mobile phone; price evolution; selling online;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2011 Tenth International Symposium on
Conference_Location :
Wuxi
Print_ISBN :
978-1-4577-0327-0
DOI :
10.1109/DCABES.2011.80
