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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 121–130 of 431 papers

TitleStatusHype
Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data IntegrationCode0
The Battleship Approach to the Low Resource Entity Matching ProblemCode0
Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal QuantilesCode0
A Unified Joint Matrix Factorization Framework for Data IntegrationCode0
Elastic Coupled Co-clustering for Single-Cell Genomic DataCode0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
Benchmarking pre-trained text embedding models in aligning built asset informationCode0
Bayesian Hybrid Matrix Factorisation for Data IntegrationCode0
Efficient Vertical Federated Learning Method for Ridge Regression of Large-Scale Samples via Least-Squares SolutionCode0
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional DatasetsCode0
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