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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 11–20 of 431 papers

TitleStatusHype
Adaptive Multi-Scale Decomposition Framework for Time Series ForecastingCode2
Graph Neural Networks for Multimodal Single-Cell Data IntegrationCode2
Boosting Knowledge Graph Generation from Tabular Data with RML ViewsCode2
Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified FormatCode1
scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell DataCode1
BayReL: Bayesian Relational Learning for Multi-omics Data IntegrationCode1
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data IntegrationCode1
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and FairnessCode1
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language ModelCode1
Column Type Annotation using ChatGPTCode1
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