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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
Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer—0
Deep Multi-modal Breast Cancer Detection Network—0
Leveraging Language Models for Automated Patient Record Linkage—0
Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observationsCode0
Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases—0
OmniEcon Nexus: Global Microeconomic Simulation EngineCode0
The challenge of uncertainty quantification of large language models in medicine—0
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making—0
Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets—0
A Systematic Decade Review of Trip Route Planning with Travel Time Estimation based on User Preferences and Behavior—0
Multimodal Data Integration for Sustainable Indoor Gardening: Tracking Anyplant with Time Series Foundation Model—0
Multi-dataset and Transfer Learning Using Gene Expression Knowledge GraphsCode0
Federated Learning: A new frontier in the exploration of multi-institutional medical imaging data—0
MODIS: Multi-Omics Data Integration for Small and Unpaired DatasetsCode0
GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights—0
A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization—0
Predicting Cardiopulmonary Exercise Testing Outcomes in Congenital Heart Disease Through Multi-modal Data Integration and Geometric Learning—0
A Circular Construction Product Ontology for End-of-Life Decision-Making—0
RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image ReportsCode0
Representation Retrieval Learning for Heterogeneous Data Integration—0
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection—0
Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets—0
Systematic Literature Review on Clinical Trial Eligibility Matching—0
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios—0
Intermediate triple table: A general architecture for virtual knowledge graphsCode0
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