A Quantum Genetic Algorithm Based Approach for Enterprise Multi-source Heterogeneous Data Integration
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.
quantum genetic algorithmenterprise data integrationmulti-source heterogeneityheterogeneous data
国家科技期刊平台
NSTL
万方数据
