A novel data mining model based on SOAP in e-commerce

摘要：

The data in e-commerce holds the characteristics of distribution, heterogeneousness, sparseness, high dimension and mass. So data mining system in e-commerce should be able to deal with the data in the different environments. As a novel distributing computing technique SOAP is designed for increasing interoperability within the wide range of programs and environments. This paper provides insights and solutions into the design of new data mining model using SOAP technology. The proposed model can realize data mining for various data sources, and solve the problem that traditional data mining tools can only operate on the stand-alone system whereas it can not operate on the heterogeneous database.

关键词： Data mining SOAP e-commerce

作者: Xiaofen Zhang Ben Niu Jing Zhao

作者单位: College of Software Shenyang Normal University Shenyang, China College of Management Shenzhen University Shenzhen, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）