摘要
如何有效地利用和处理大量的数据已成为当今世界共同关心的问题。随着数据库技术、人工智能、数理统计和并行计算等技术的发展与融合,数据挖掘技术应运而生。建立集中的数据仓库存贮,定期采集的联机业务数据,日常管理业务数据和外部数据,提供查询,联机分析,和数据挖掘等多种工具,为金融界分析研究宏观市场环境,竞争对手,客户,产品和服务渠道提供智能化管理分析系统和决策辅助手段。同时,该系统的实现对于防范和打击金融风险活动,也具有重要的现实意义。
how to effectively utilize And process large Amounts of dAtA become issues of common concern in today＇ s world. With the development and integration of database technology, Artificial intelligence, statistics And parallel computing technologies such As data mining techniques emerged. Establish A centralized data warehouse storage, online business data regularly collected, the daily management of business data and external data, providing query, OLAP, and data mining tools to study the macro market environment for the financial sector analysis, competitors, customers product And service channels to provide intelligent management systems and decision support analysis tools. Meanwhile, the implementation of the system for the prevention And combating of financial risk Activities, but Also has important practical significance. Key words：
出处
《计算机安全》
2014年第2期48-51,共4页
Network & Computer Security
关键词
数据挖掘技术
金融
决策辅助
智能化管理分析
data mining technology
finance
decision support
intelligent management analysis
