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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 71–80 of 431 papers

TitleStatusHype
From Swath to Full-Disc: Advancing Precipitation Retrieval with Multimodal Knowledge ExpansionCode0
Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observationsCode0
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time SeriesCode0
Evaluating approaches for supervised semantic labelingCode0
Evaluating AI capabilities in detecting conspiracy theories on YouTubeCode0
Evaluating Blocking Biases in Entity MatchingCode0
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional DatasetsCode0
Elastic Coupled Co-clustering for Single-Cell Genomic DataCode0
Efficient Vertical Federated Learning Method for Ridge Regression of Large-Scale Samples via Least-Squares SolutionCode0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
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