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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 151–175 of 431 papers

TitleStatusHype
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
A Comparison of Neuroelectrophysiology Databases—0
Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance—0
A survey on deep learning approaches for data integration in autonomous driving system—0
Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets—0
Crop Knowledge Discovery Based on Agricultural Big Data Integration—0
A health telemonitoring platform based on data integration from different sources—0
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis—0
A Survey of Data Quality Measurement and Monitoring Tools—0
Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results—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
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
A Circular Construction Product Ontology for End-of-Life Decision-Making—0
Control of Renewable Energy Communities using AI and Real-World Data—0
Assessing the Reproducibility of Machine-learning-based Biomarker Discovery in Parkinson's Disease—0
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage—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
Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions—0
Context-Aware Analytics in MOM Applications—0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity—0
A review of machine learning approaches, challenges and prospects for computational tumor pathology—0
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