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作 者:倪强[1] 周守东[1] 宋婷婷 NI Qiang;ZHOU Shoudong;SONG Tingting(Information Development Department,Anhui Industrial Economics Vocational and Technical College,Hefei,Anhui 230051,China;School of Computing and Information Science,Fuzhou Institute of Technology,Fuzhou,Fujian 350506,China)
机构地区:[1]安徽工业经济职业技术学院信息发展处,安徽合肥230051 [2]福州理工学院计算与信息科学学院,福建福州350506
出 处:《保定学院学报》2024年第2期91-97,共7页Journal of Baoding University
基 金:安徽省教育厅高校自然科学研究项目“基于智能数据云平台的高校一体化平台设计应用探索”(2022AH052667)。
摘 要:智能云平台是一种集成各种资源和功能的高效计算平台,可以为用户提供灵活的数据存储和高效的数据检索服务.随着信息技术飞速发展,异构数据库中数据呈爆炸式增长.为了提升网络异构数据库检索效果,提出智能云平台异构数据库协同检索算法.构建智能云平台异构数据库,均衡异构数据库中的节点能耗;排序云平台多源异构数据,预处理异构数据;建立以索引库为核心的检索服务引擎,利用神经网络提取多源异构数据特征,实现异构数据库的匹配检索.测试结果表明,所提算法查准率为96%,查全率为94%,数据丢失量仅为1.由此证明,所提方法有效提高了网络异构数据库检索效果.Intelligent cloud platform is an efficient computing platform integrating various resources and functions,which can provide users with flexible data storage and efficient data retrieval services.However,with the rapid development of information technology,the data in heterogeneous database has exploded.In order to improve the retrieval effect of heterogeneous database on the network,a collaborative retrieval algorithm for heterogeneous database on intelligent cloud platform is proposed.Constructing heterogeneous database of intelligent cloud platform to balance the energy consumption of nodes in heterogeneous database;sorting multi-source heterogeneous data of the cloud platform and preprocessing the heterogeneous data;the retrieval service engine with index database as the core is established,and the characteristics of multi-source heterogeneous data are extracted by neural network to realize the matching retrieval of heterogeneous database.The test results show that the precision rate of the proposed algorithm is 96%,the recall rate is 94%,and the data loss is 1.This proves that the proposed method effectively improves the retrieval effect of heterogeneous database on the network.
分 类 号:TP392[自动化与计算机技术—计算机应用技术]
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