• 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