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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 376–400 of 431 papers

TitleStatusHype
Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets—0
Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance—0
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events—0
Current and future directions in network biology—0
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods—0
Data Fusion by Matrix Factorization—0
Data integration and prediction models of photovoltaic production from Brazilian northeastern—0
Data Integration Framework for Virtual Reality Enabled Digital Twins—0
Data integration in systems genetics and aging research—0
Data Integration with High Dimensionality—0
Data Issues in Industrial AI System: A Meta-Review and Research Strategy—0
Data Warehouse and Decision Support on Integrated Crop Big Data—0
Bottom-up data integration in polymer models of chromatin organisation—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—0
Deep Multi-modal Breast Cancer Detection Network—0
Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab—0
Design and Evaluation of a CDSS for Drug Allergy Management Using LLMs and Pharmaceutical Data Integration—0
Designing and Implementing Data Warehouse for Agricultural Big Data—0
Detection of bromochloro alkanes in indoor dust using a novel CP-Seeker data integration tool—0
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions—0
Development of CODO: A Comprehensive Tool for COVID-19 Data Representation, Analysis, and Visualization—0
Development of Semantics-Based Distributed Middleware for Heterogeneous Data Integration and its Application for Drought—0
Diagnostic data integration using deep neural networks for real-time plasma analysis—0
Diffusion Transport Alignment—0
DINGO: an ontology for projects and grants linked data—0
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