Design of Automatic Detection System for Distributed Database Duplicate Records Based on Artificial Intelligence Technology
An automatic detection method of repeated records of distributed database based on ar-tificial intelligence technology is proposed to improve the accuracy and query efficiency of database que-ries.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 al-gorithm 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.
automated queriesGray Wolf algorithmfuzzy clusteringdistributed database
万方数据
维普
