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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
Graph Neural Networks for Multimodal Single-Cell Data IntegrationCode2
Adaptive Multi-Scale Decomposition Framework for Time Series ForecastingCode2
Integrate Any Omics: Towards genome-wide data integration for patient stratificationCode2
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
Cost-Effective In-Context Learning for Entity Resolution: A Design Space ExplorationCode1
MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data IntegrationCode1
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical TextCode1
Column Property Annotation using Large Language ModelsCode1
Column Type Annotation using ChatGPTCode1
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