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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 51–100 of 431 papers

TitleStatusHype
eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous EnsemblesCode1
Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial TranscriptomicsCode1
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference—0
A Comparison of Neuroelectrophysiology Databases—0
Current and future directions in network biology—0
A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization—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
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
A machine-compiled macroevolutionary history of Phanerozoic life—0
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey—0
A Systematic Decade Review of Trip Route Planning with Travel Time Estimation based on User Preferences and Behavior—0
A High Precision Pipeline for Financial Knowledge Graph Construction—0
Reasoning about disclosure in data integration in the presence of source constraints—0
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods—0
A survey on deep learning approaches for data integration in autonomous driving system—0
A health telemonitoring platform based on data integration from different sources—0
A Circular Construction Product Ontology for End-of-Life Decision-Making—0
A Survey of Data Quality Measurement and Monitoring Tools—0
Assumption-Lean Post-Integrated Inference with Negative Control Outcomes—0
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings—0
Accu-Help: A Machine Learning based Smart Healthcare Framework for Accurate Detection of Obsessive Compulsive Disorder—0
Assessing the Reproducibility of Machine-learning-based Biomarker Discovery in Parkinson's Disease—0
A Semantic Analyzer for the Comprehension of the Spontaneous Arabic Speech—0
A Framework for Accurate Drought Forecasting System Using Semantics-Based Data Integration Middleware—0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
A review of machine learning approaches, challenges and prospects for computational tumor pathology—0
Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques—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
Data Fusion by Matrix Factorization—0
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data—0
A Primer on the Data Cleaning Pipeline—0
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis—0
Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: A Systematic Scoping Review—0
Combining exome and gene expression datasets in one graphical model of disease to empower the discovery of disease mechanisms—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices—0
Crop Knowledge Discovery Based on Agricultural Big Data Integration—0
Common Foundations for SHACL, ShEx, and PG-Schema—0
Community-Based Data Integration of Course and Job Data in Support of Personalized Career-Education Recommendations—0
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data—0
Computer-Assisted Analysis of Biomedical Images—0
Cognitive network science for understanding online social cognitions: A brief review—0
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity—0
Context-Aware Analytics in MOM Applications—0
Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions—0
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage—0
Cluster Quilting: Spectral Clustering for Patchwork Learning—0
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