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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 176–200 of 431 papers

TitleStatusHype
Personalized graph feature-based multi-omics data integration for cancer subtype identification—0
MMREC: LLM Based Multi-Modal Recommender System—0
Enhancing Medical Learning and Reasoning Systems: A Boxology-Based Comparative Analysis of Design Patterns—0
VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections—0
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives—0
AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence—0
Multi-Modal Dataset Creation for Federated Learning with DICOM Structured Reports—0
DALL-M: Context-Aware Clinical Data Augmentation with LLMsCode0
TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients—0
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships—0
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions—0
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional DatasetsCode0
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions—0
Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data—0
Multi-object Data Integration in the Study of Primary Progressive Aphasia—0
Moment-based parameter inference with error guarantees for stochastic reaction networksCode0
Data Issues in Industrial AI System: A Meta-Review and Research Strategy—0
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being—0
Cluster Quilting: Spectral Clustering for Patchwork Learning—0
A Survey of Pipeline Tools for Data EngineeringCode0
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes—0
Multimodal Contextualized Semantic Parsing from SpeechCode0
Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal QuantilesCode0
Combining Experimental and Historical Data for Policy EvaluationCode0
Leveraging Large Language Models for Entity Matching—0
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