基于量子遗传算法的企业多源异构数据集成方法
A Quantum Genetic Algorithm Based Approach for Enterprise Multi-source Heterogeneous Data Integration
张川1
作者信息
- 1. 中国华油集团有限公司,北京 100120
- 折叠
摘要
本文提出基于量子遗传算法的企业多源异构数据集成方法,在方法的设计中,首先采集处理集企业多源异构数据,通过缺失重复数据的删除,完整数据的初步整合,进而计算数据的相似度,通过数据的匹配构建数据集,然后在遗传算法的随机匹配下完成企业多源异构数据集成.实验结果表明所设计的集成方法具有较高的数据集成效果,可以将其运用到实际的企业运行中.
Abstract
This paper proposes an enterprise multi-source heterogeneous data integration method based on quantum genetic algorithm,in the design of the method,firstly,collect and process the enterprise multi-source heterogeneous data,through the deletion of missing duplicates,the preliminary integration of the complete data,and then calculate the similarity of the data,and construct the data set through the matching of the data,and then complete the integration of the enterprise multi-source heterogeneous data with the stochastic matching of the genetic algorithm.The experimental results show that the designed integration method has high data integration effect and can be applied to the actual enterprise operation.
关键词
量子遗传算法/企业数据集成/多源异构/异构数据Key words
quantum genetic algorithm/enterprise data integration/multi-source heterogeneity/heterogeneous data引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据