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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 301–350 of 431 papers

TitleStatusHype
Enhancing Medical Learning and Reasoning Systems: A Boxology-Based Comparative Analysis of Design Patterns—0
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference—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
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer—0
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices—0
Accu-Help: A Machine Learning based Smart Healthcare Framework for Accurate Detection of Obsessive Compulsive Disorder—0
A Circular Construction Product Ontology for End-of-Life Decision-Making—0
A Comparison of Neuroelectrophysiology Databases—0
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings—0
Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration—0
Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data—0
Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data—0
Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques—0
A Framework for Accurate Drought Forecasting System Using Semantics-Based Data Integration Middleware—0
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings—0
A health telemonitoring platform based on data integration from different sources—0
A High Precision Pipeline for Financial Knowledge Graph Construction—0
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships—0
A machine-compiled macroevolutionary history of Phanerozoic life—0
A Markov Model for Ontology Alignment—0
A Multimodal Learning Framework for Comprehensive 3D Mineral Prospectivity Modeling with Jointly Learned Structure-Fluid Relationships—0
An Adaptive System Architecture for Multimodal Intelligent Transportation Systems—0
Analyses and Concerns in Precision Medicine: A Statistical Perspective—0
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics—0
An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction—0
Anfrage-getriebener Wissenstransfer zur Unterstuetzung von Datenanalysten—0
An Ontology for Defect Detection in Metal Additive Manufacturing—0
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic—0
Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: A Systematic Scoping Review—0
A Primer on the Data Cleaning Pipeline—0
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data—0
A review of machine learning approaches, challenges and prospects for computational tumor pathology—0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
A Semantic Analyzer for the Comprehension of the Spontaneous Arabic Speech—0
Assessing the Reproducibility of Machine-learning-based Biomarker Discovery in Parkinson's Disease—0
Assumption-Lean Post-Integrated Inference with Negative Control Outcomes—0
A Survey of Data Quality Measurement and Monitoring Tools—0
A survey on deep learning approaches for data integration in autonomous driving system—0
A Systematic Decade Review of Trip Route Planning with Travel Time Estimation based on User Preferences and Behavior—0
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches—0
A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization—0
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design—0
AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence—0
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey—0
A Vision for Health Informatics: Introducing the SKED Framework.An Extensible Architecture for Scientific Knowledge Extraction from Data—0
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise—0
Beyond designer's knowledge: Generating materials design hypotheses via large language models—0
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