基于人工智能技术的分布式数据库重复记录自动检测系统设计  

Design of Automatic Detection System for Distributed Database Duplicate Records Based on Artificial Intelligence Technology

作　　者：王彩霞[1] 陶健 WANG Caixia;TAO Jian(School of Information and Artificial Intelligence,Anhui Business College of Vocational Technology,Wuhu Anhui 241002,China)

机构地区：[1]安徽商贸职业技术学院信息与人工智能学院,安徽芜湖241002

出　　处：《佳木斯大学学报（自然科学版）》2024年第1期55-58,共4页Journal of Jiamusi University：Natural Science Edition

基　　金：2022年度安徽省科研编制计划项目(2022AH052741)。

摘　　要：以人工智能技术为基础前提的分布式数据库重复记录自动检测的方式,以提高数据库查询时的准确率以及查询效率。设计系统首先对数据信息进行对应的特征提取,而后通过权衡函数对样本信息进行整合,通过自适应分解得到相应的目标函数并求解,结合灰狼算法以及Shingle完成数据查询。经过算例验证,改进设计方式准确率均超过90%,平均耗时在35 s以内,满足自动查询快速精确的要求。An automatic detection method of repeated records of distributed database based on artificial intelligence technology is proposed to improve the accuracy and query efficiency of database queries.The design system first extracts the corresponding features of the data information,then integrates the sample information through the trade-off function,obtains the corresponding objective function through adaptive decomposition and solves,and completes the data query by combining the gray wolf algorithm and Shingle.After the example verification,the accuracy rate of the improved design method exceeds 90%,and the average time consumption is less than 35s,which meets the requirements of fast and accurate automatic query.

关 键 词：自动化查询 灰狼算法 模糊聚类 分布式数据库 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]