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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 141–150 of 431 papers

TitleStatusHype
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal NeuroimagingCode0
Weakly-Supervised Multimodal Learning on MIMIC-CXRCode0
Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRICode0
Reducing Biases in Record Matching Through Scores CalibrationCode0
Ontology Population using LLMs—0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects—0
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs—0
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching—0
Novel Architecture for Distributed Travel Data Integration and Service Provision Using Microservices—0
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