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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 76–100 of 431 papers

TitleStatusHype
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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