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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 101–150 of 431 papers

TitleStatusHype
Assessing the Reproducibility of Machine-learning-based Biomarker Discovery in Parkinson's Disease—0
Control of Renewable Energy Communities using AI and Real-World Data—0
Corynebacterium glutamicum regulation beyond transcription: Organizing principles and reconstruction of an extended regulatory network incorporating regulations mediated by small RNA and protein-protein interactions—0
Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results—0
Clinical Trials Ontology Engineering with Large Language Models—0
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis—0
Crop Knowledge Discovery Based on Agricultural Big Data Integration—0
Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets—0
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data—0
Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance—0
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic—0
Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder—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
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches—0
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships—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
CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies—0
Data Integration Framework for Virtual Reality Enabled Digital Twins—0
Data integration in systems genetics and aging research—0
A machine-compiled macroevolutionary history of Phanerozoic life—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
An Ontology for Defect Detection in Metal Additive Manufacturing—0
Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data—0
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs—0
Anfrage-getriebener Wissenstransfer zur Unterstuetzung von Datenanalysten—0
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer—0
Enhancing Medical Learning and Reasoning Systems: A Boxology-Based Comparative Analysis of Design Patterns—0
Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research—0
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios—0
Business Entity Matching with Siamese Graph Convolutional Networks—0
A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research—0
A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry—0
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research—0
VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections—0
Dynamical models for metabolomics data integration—0
Biodiversity data standards for the organization and dissemination of complex research projects and digital twins: a guide—0
An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction—0
Driving Digital Engineering Integration and Interoperability Through Semantic Integration of Models with Ontologies—0
DREIFLUSS: A Minimalist Approach for Table Matching—0
BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings—0
Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction—0
Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization—0
Bi-Encoders based Species Normalization -- Pairwise Sentence Learning to Rank—0
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics—0
Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration—0
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