This model exists the data integration layer in the platform of big data analytics. The model can improve the Extract-Transform-Load (ETL) process in the big ...

The platform is positioned as a data sharing, analysis and application platform. Data acquisition, storage, preprocessing, visualization and other aspects can ...

Abstract—It is the vital significance for the strong and smart grid that big data analytics technologies apply in the power system. The multi-source and ...

Research shows that the integrating model developed here is efficient to establish panoramic data and can adapt to various data sources by building uniform ...

Experiments show that the model based on machine learning classification algorithm can effectively improve the imprecise data cleaning rate compared with the ...

Chen, W., et al.: Multi-source and heterogeneous data integration model for big data analytics in power DCS. In: IEEE 2016 International Conference on Cyber ...

(2016) proposes a multi-source and heterogeneous Big. Data integration model. They use an improved ETL framework named BDETL to integrate the data form.

Multi-source and Heterogeneous Data Integration Model for. Big Data Analytics in Power DCS [Paper Presentation]. ... Big Data Integration of Heterogeneous Data ...

Jun 30, 2021 · Multi-source and heterogeneous data integration model for big data analytics in power DCS. In: INTERNATIONAL CONFERENCE ON CYBER-ENABLED ...