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Data Integration

Data integration (also called information integration) is the process of consolidating data from a set of heterogeneous data sources into a single uniform data set (materialized integration) or view on the data (virtual integration). Data integration pipelines involve subtasks such as schema matching, table annotation, entity resolution, value normalization, data cleansing, and data fusion. Application domains of data integration include data warehousing, data lakes, and knowledge base consolidation. Surveys on Data integration:

Papers

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Showing 381–390 of 431 papers

TitleStatusHype
Data Fusion by Matrix Factorization—0
Data integration and prediction models of photovoltaic production from Brazilian northeastern—0
Data Integration Framework for Virtual Reality Enabled Digital Twins—0
Data integration in systems genetics and aging research—0
Data Integration with High Dimensionality—0
Data Issues in Industrial AI System: A Meta-Review and Research Strategy—0
Data Warehouse and Decision Support on Integrated Crop Big Data—0
Bottom-up data integration in polymer models of chromatin organisation—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—0
Deep Multi-modal Breast Cancer Detection Network—0
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