Knowledge Management in E-commerce: A Data Mining Perspective

Hong Yu, Xiaolei Huang, Xiaorong Hu, Changxuan Wan
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引用次数: 15

Abstract

To achieve knowledge management (KM), we need to integrate information system strategies with business strategies. The implementation of e-commerce provides conditions for KM of enterprises. This article suggests using data mining (DM) as a technique to support knowledge management in e-commerce. We discuss the process of knowledge management in e-commerce and present a reference model. A general architecture of collecting and mining data out of an e-commerce platform is designed to facilitate user discovering valuable knowledge. We detail the four functional modules, namely data collection, data pre-processing, pattern discovery, and knowledge analysis of the integrated architecture. Finally, some challenges in the process of implementing KM using data mining are summarized.
电子商务中的知识管理:数据挖掘的视角
为了实现知识管理,我们需要将信息系统战略与业务战略相结合。电子商务的实施为企业知识管理提供了条件。本文建议使用数据挖掘技术来支持电子商务中的知识管理。讨论了电子商务中知识管理的过程,提出了一个参考模型。为了方便用户发现有价值的知识,设计了电子商务平台数据收集和挖掘的通用体系结构。详细介绍了集成体系结构的数据收集、数据预处理、模式发现和知识分析四个功能模块。最后,总结了利用数据挖掘实现知识管理过程中存在的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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