一种基于清洗关联规则的金融数据挖掘算法

A Cleaning Association Rules Based on the Financial Data Mining Algorithm

充分研究新型的数据前期预处理及金融数据联系的一些时间变量的预处理方法,提出一种基于清洗关联规则的金融数据挖掘算法.引入关联规则的分析在一定支持度的约束下研究和金融紧密相关的一些因素,在应用过程中随着算法的开展,对重点部门与重点功能进行观测与预警.实验证明,该方法可以更加准确的进行金融数据状态的跟踪,挖掘效率更高.

The new type of the full data pretreatment and focuses on the research and financial data of some key contact time variable of the pretreatment method. Put forward a kind of cleaning association rules based on the financial data mining algorithm, introduce the analysis of association rules in certain support under the restriction of the research and financial closely related to some factors, in the application process with the development of key departments of system and the key functions of the observation and warning. Experiment results show that the method can be more accurate for the state of the financial data tracking, mining efficiency is higher.