DocumentCode
536029
Title
The commodities price extracting for shop online
Author
Zhu, Quanyin ; Yan, Yunyang ; Ding, Jin ; Zhang, Yu
Author_Institution
Fac. of Comput. Eng., Huaiyin Inst. of Technol., Huaiyin, China
Volume
2
fYear
2010
fDate
9-10 Oct. 2010
Firstpage
317
Lastpage
320
Abstract
As the shop online and its usage develop very fast, the content, structure, and usage data, and the Web mining get more and more useful in everywhere such as e-supermarkets and e-commerce. Many theories and algorithms are reported for Web mining. This paper shows a novel idea for the commodities price extracting of shop online. The MVC design model and the Bottle Formwork are opted to build the application system. The opened developing tools: Python language and MySQL database are used to code the system program and construct the system database respectively. The system architecture and the commodity classified are introduced. The functions coded by Python are designed for implantation the commodities price extracting, comparative analyzing, and system management. Some of them are described in detail. Experiment demonstrates its performance and proves this case is meaningful and useful for the storekeeper online.
Keywords
Internet; SQL; data mining; electronic commerce; object-oriented languages; Bottle Formwork; MVC design model; MySQL database; Python language; Web mining; commodity price extraction; e-commerce; e-supermarkets; shop online; Commodities price; Data extracting; Shop online;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location
Changzhou
Print_ISBN
978-1-4244-9087-5
Type
conf
DOI
10.1109/FITME.2010.5656305
Filename
5656305
Link To Document