摘要
当前，数据挖掘技术已经应用到社会的各个领域，包括电信业、金融业、医疗卫生、自然科学等。本文介绍了数据挖掘的两种主要策略：有指导的学习和无指导的聚类。并通过信用卡促销数据集来解释无指导聚类的过程，挖掘结果对于信用卡促销活动具有很大的指导意义。
At present, data mining techniques are applied to all spheres of society, including telecommunications, financial services, health care, natural sciences. This paper presents what is data mining and the two major strategies of data mlning：supervised leaming and unsupervised clustering. Through credit card data sets this paper explains the process of unsupervised clustering and mining result is a great guide for the promotional activities of the credit card.
出处
《计算机与现代化》
2007年第9期100-102,共3页
Computer and Modernization
关键词
数据挖掘
无指导聚类
信用卡促销
data mining
unsupervised clustering
credit card promotion
