摘要
文中对Ansari等提出的基本的电子商务应用框架做了进一步的细化和补充,详细分析了数据收集和数据挖掘问题,包括数据来源、数据类型、数据收集器工作、数据转化、数据库建立和搜寻规则构建等。在此基础上,探讨了数据挖掘技术在基于WebGIS的电子商务中的具体应用。最后讨论了将数据挖掘技术应用于电子商务数据挖掘的最终目的和目前尚面临的一些困难。
Ecommerce is an important application of data mining technique. This application requires integrating the advantages of Web, GIS and Ecommerce into an entity, which involves in such components as data obtaining, database creating, and data mining. Ansari et al. proposed a basic architecture to integrate these components for applying data mining technique to the Ecommerce. The paper expands and improves this architecture. Detailed discussions have been given to such issues as data sources, data types, data obtainer, data transformation, database generation and searching rules establishment. Examination is also given to the specific application of data mining in Web GISbased Ecommerce. Finally, the paper discusses the goals of data mining technique for Ecommerce application and the difficulties of implementation such technique in the real world.
出处
《测绘学院学报》
北大核心
2003年第3期180-182,185,共4页
Journal of Institute of Surveying and Mapping
基金
国家重点基础研究发展规划项目(2001CB309404)
海外青年学者合作研究基金(40128001)
教育部科学技术重点项目
