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2011 | OriginalPaper | Chapter
The Web Data Extracting and Application for Shop Online Based on Commodities Classified
Authors : Jianping Deng, Fengwen Cao, Quanyin Zhu, Yu Zhang
Published in: Computing and Intelligent Systems
Publisher: Springer Berlin Heidelberg
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As the Web 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, e-commerce, e-learning, and e-government. Many theories and algorithms are reported for Web mining. This paper shows a novel method for the Web data 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. More then 30 functions coded by Python are designed for implantation the data extracting, analyzing, statistics, and system management. Some of them are described in detail. Experiment demonstrates its performance and proves this case is meaningful and useful for other shop online development.