To improve the current situation that research on sellers’ attributes has not received enough attention in the field of E-commerce study, this paper analyzes the E-commerce transaction data of cellular phones with Self-Organizing Map (SOM) and explores how the match between sellers’ attributes and the commodities affect the prosperity of the transactions. The findings will help sellers and manufacturers understand the market status and their own advantages and disadvantages, and they can take measures to improve their production and operation. In the aspect of research methods, the algorithm of U-matrix has been modified based on the existing version,then a new definition and display of U-matrix are proposed and applied to the data analysis in this paper.
*本文系教育部人文社会科学重点研究基地重大项目“基于知识组织的竞争情报研究”（项目编号：05JJD870159）、2007年度全美华裔图书馆员协会黄氏奖学金CALA’s Huang Tso-ping & Wu Yao-yu Memorial Grant and Scholarships和国家留学基金管理委员会“国家建设高水平大学公派研究生”项目的研究成果之一。
通讯作者:
安璐
E-mail: whuanlu@yahoo.com.cn
作者简介: 李纲,安璐
引用本文:
李纲,安璐. 基于SOM的手机电子商务交易聚类分析*[J]. 现代图书情报技术, 2008, 24(9): 70-77.
Li Gang,An Lu. Clustering Analysis of E-commerce Transactions with Self-Organizing Map. New Technology of Library and Information Service, 2008, 24(9): 70-77.
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