UC知道求助:摘要翻译
来源：百度知道 编辑：UC知道 时间：2024/05/31 02:01:06
数据挖掘是从大规模的数据中抽取非平凡的、隐含的、未知的、有潜在使用价值的信息的技术。随着信息技术的飞速发展，各行业的业务数据规模也不断增大，同时，数据挖掘技术不断成熟并逐渐向行业应用方向飞速发展。与此同时，随着国内保险业的快速发展，“银行保险”这种特殊的经营模式从欧美被带到了中国并逐步开始发展壮大，目前其地位已经提升到和“个险”与“团险”一样的地位，成为国内保险公司相互竞争的一片新领域。一方面，为了更好与银行合作，扩展业务量。另一方面，为了充分理解客户的购买行为从而进一步满足客户需求，那么唤醒沉睡在数据库中的海量原始数据成为解决这些问题的必然途径。本文通过深入了解银行保险领域知识以及对数据挖掘技术的学习研究，详细阐述了数据挖掘技术在银行保险业中的应用。本文的主要工作如下:1.从银行保险的基本流程入手，详细阐述了 银行保险的基本情况并提出了目前银行保险需要解决的一个关于银行柜员管理与激励的问题;2.从数据挖掘概念入手，介绍了数据挖掘的几种方法并从数据挖掘技术入手，分别介绍了分类、聚类、关联规则等在国内外保险业中的运用。3、尝试使用数据挖掘中的决策树算法来解决上述问题并且得到一棵决策树和几条有用的规则。
关键字：数据挖掘，银行保险，决策树，银行柜员管理与激励。
Abstract
Mining data from a large-scale data from a non-trivial, implied, unknown, the potential value of information technology. With the rapid development of information technology, the industry's business data is also growing scale, at the same time, data mining technology has gradually matured and direction to the rapid development of industrial applications. At the same time, with the domestic insurance industry's rapid development, "Bank of insurance" such a special mode of operation from Europe and the United States was brought to the Chinese gradually began to develop and grow, their status has been upgraded to "dangerous months" and "Mission And dangerous "the same status as domestic insurance companies compete with each other in a new area. On the one hand, in order to better co-operation with banks to expand their businesses. On the other hand, in order to fully understand customer buying behavior to further meet customer demand,