Research on the Price Forecast without Complete Data Based on Web Mining
Quanyin Zhu, Sunqun Cao, Jin Ding, Zhengyin Han · 2011
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.