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一种基于BP神经网络的实体匹配方法 被引量：2

Methodology for Entities Matching Based on Neural Network
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摘要 提出一种基于BP神经网络的二步检查法实体匹配新算法,将基于学习的思想引入到异构数据库实体匹配领域中,避开了传统方法计算属性权重的问题。实验结果显示,该算法很有效,能明显提高实体匹配的查准率,有较强的环境动态适应性,可以实现实体匹配的自动化。 A methodology for entities matching algorithm based on two-phase-check BP neural network is proposed. Will study the thought will introduce in the field of heterogeneous database entities matching, avoided computing the attributes weights. The experimental result show, the algorithm is very effective, and improve the precision ratio, has the stronger environment dynamic compatibility, can realize the entities matching automation.
作者 陈凌 强保华 余建桥 吴开贵 吴中福
机构地区 西南大学信息学院 重庆大学计算机学院
出处 《计算机应用研究》 CSCD 北大核心 2006年第12期38-39,73,共3页 Application Research of Computers
基金 国家自然科学基金资助项目(70371030) 重庆市教委基金资助项目(040212)
关键词 BP神经网络 实体匹配 二步检查法 异构数据库 BP Neural Network Entities Matching Two-Phase-Checking Algorithm Heterogeneous Databases
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献8

  • 1Bao-hua Qiang,Kai-gui Wu,et al.A Data-type-based Approach for Identifying Corresponding Attributes in Heterogeneous Databases[C].Xi'an:Proceedings of the International Conference on Machine Learning and Cybernetics,IEEE,2003.299-300.
  • 2Stephen Hayne,Sudha Ram.Multi-user View Integration System (MUVIS):An Expert System for View Integration[C].Proceedings of the 6th International Conference on Data Engineering,IEEE,1990.402-409.
  • 3Wen-Syan Li,Chris Clifton,Shu-Yao Liu.Database Integration Using Neural Networks:Implementation and Experiences[J].Knowledge and Information Systems,2000,(2):73-96.
  • 4Wen-Syan Li,Chris Clifton.Semantic Integration in Heterogeneous Databases Using Neural Networks[C].Santiago:Proceedings of the 20th VLDB Conference,1994.653-654.
  • 5Premerlani W J,Blaha MR.An Approach for Reverse Engineering of Relational Databases[J].Communications of the ACM,1994,37 (5):42-49.
  • 6Amit Sheth,James Larson.Federated Database Systems for Managing Distributed Heterogeneous and Autonomous Databases[J].Computer Surveys,1990,22(3):183-236.
  • 7D Dey,S Sarkar,P De.A Distance-based Approach to Entity Reconciliation in Heterogeneous Databases[J].IEEE Transactions on Knowledge and Data Engineering,2002,14(3):567-582.
  • 8强保华,吴中福,余建桥,陈凌,吴开贵.基于属性信息熵的实体匹配方法研究[J].计算机工程,2005,31(21):31-33. 被引量：5

二级参考文献6

  • 1Qiang Baohua, Wu Kaigui, Wu Zhongfu. A Data-type-based Approach for Identifying Corresponding Attributes in Heterogeneous Databases. Xi'an, China: In: Proceedings of 2003 International Conference on Machine Learning and Cybernetics, 2003-11.
  • 2Qiang Baohua, Wu Kaigui, Liao Xiaofeng. Similarity Determination on Data Types in Heterogeneous Databases Using Neural Networks. Nanjing, China: In: Proceedings of 2003 International Conference on Neural Networks and Signal Processing, 2003-12.
  • 3Copas J B, Hilton F J, Record Linkage: Statistical Models for Matching Computer Records. J. Royal Statistical Soc.,1990, 153(3):287-320.
  • 4Dey D, Sarkar S, De P. A Probabilistic Decision Model for Entity Matching in Heterogeneous Databases. Management Science, 1998,12(10): 1379-1395.
  • 5Dey D, Sarkar S, De R A Distance-based Approach to Entity Reconciliation in Heterogeneous Databases. IEEE Transaction on Knowledge and Data Engineering, 2002, 14(3).
  • 6Barron F H, Barrett B E. Decision Quality Using Ranked Attribute Weights. Management Science, 1996, 42( 11 ): 1515-1523.

共引文献4

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计算机应用研究
2006年 第12期

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