摘要
随着商业银行信息化进程中数据集中阶段任务的完成,各商业银行将面临如何从大量的数据中提取有价值的信息和知识以提高企业决策质量和市场竞争力,数据挖掘技术的出现使企业“数据变知识”成为可能。文章主要结合商业银行的实际,探讨了核聚类方法在提高银行服务成功率等方面的应用。
With the completion of the tasks in data centralization phase of commercial bank information process, many commercial banks will be confronted with how to extract valuable information and knowledge from a large number of data so as to improve the quality of decision-making in corporation and market competitiveness. The emergence of data mining technology makes it possible to change data into knowledge. In this paper, combining with the commercial banks＇ practice, the application of fuzzy kernel C-Means cluster in improving the rate of success in bank services is discussed.
出处
《湖南理工学院学报（自然科学版）》
CAS
2007年第1期24-27,共4页
Journal of Hunan Institute of Science and Technology(Natural Sciences)
基金
国家自然科学基金资助项目(10571109)
关键词
数据挖据
核聚类
商业银行
客户关系管理
data mining
kernel cluster
commercial banks
customer relationship management
