首页> 外文期刊>Decision support systems >Data mining for financial decision making
【24h】

Data mining for financial decision making

机译:数据挖掘以制定财务决策

获取原文
获取原文并翻译 | 示例
       

摘要

As information-intensive organizations transform themselves from passive collectors to active explorers and exploiters of data, they face a serious challenge: How can they benefit from increased access to information to better understand their markets, customers, suppliers, operations, and internal business processes? Responding to this challenge, the field of data mining has emerged. It focuses on the process of discovering valid, comprehensible, and potentially useful knowledge from large data sets with the goal to act on this knowledge in decision making. Data mining integrates concepts from modern statistics, intelligent information systems, machine learning, pattern recognition, decision theory, data engineering, and database management. It provides powerful tools that can reveal complex and hidden relationships in large amounts of data. Data mining already has a major impact on business and finance.
机译:随着信息密集型组织从被动的收集器转变为主动的数据探索者和利用者,他们面临着严峻的挑战:如何从越来越多的信息访问中受益,以更好地了解其市场,客户,供应商,运营和内部业务流程?为应对这一挑战,出现了数据挖掘领域。它着重于从大数据集中发现有效的,可理解的和潜在有用的知识的过程,目的是在决策过程中对这种知识采取行动。数据挖掘集成了来自现代统计,智能信息系统,机器学习,模式识别,决策理论,数据工程和数据库管理的概念。它提供了强大的工具,可以揭示大量数据中的复杂和隐藏关系。数据挖掘已经对业务和财务产生了重大影响。

著录项

  • 来源
    《Decision support systems》 |2004年第4期|p.457-460|共4页
  • 作者

    Hui Wang; Andreas S. Weigend;

  • 作者单位

    School of Computing and Mathematics, Faculty of Informatics, University of Ulster at Jordanstown, Jordanstown, BT37 0QB, N. Ireland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;
  • 关键词

  • 入库时间 2022-08-18 02:14:36

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号