【摘要】 为提升金融业务数据库查询精准度和效率，设计了一种基于多级索引表的金融业务数据库精准查询方法。首先，构建多级索引的逻辑结构，设计多级索引表构建过程；其次，进行金融业务数据特征融合，为金融业务数据查询准备好数据条件；最后，设计金融业务数据库精准查询算法，完成基于多级索引表的金融业务数据库精准查询方法设计的全过程。实验结果表明：设计方法的金融业务数据库查询精准度均在90%以上，最高可达到98%，而且查询所需时间最短仅为5.25 s。本设计方法的适用性极强，具有较好的应用前景，以期能够为金融业务数据的精准高效查询提供参考借鉴。更多还原

【Abstract】 In order to enhance the accuracy and efficiency of financial business database queries, this article presents a method for precise query in financial business databases based on multi-level index tables. Firstly, it constructs the logical structure of multi-level indexes and designs the process of building multi-level index tables.Secondly, it merges financial business data features to set up data conditions for financial business data queries.Finally, a precise query algorithm for financial business databases is devised t to complete the entire process of designing a precise query method for financial business databases using multi-level index tables. Experimental results demonstrate that the query accuracy of the financial business database using this method is above 90%,reaching a maximum of 98%. Moreover, the query time is only 5.25 s, indicating that the design method proposed in this paper is highly applicable with promising prospects. This study aims to offer insights for accurate and efficient querying of financial business data.更多还原