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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 201–250 of 431 papers

TitleStatusHype
Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Network—0
An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction—0
Biodiversity data standards for the organization and dissemination of complex research projects and digital twins: a guide—0
CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell dataCode0
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings—0
Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration—0
Development of Semantics-Based Distributed Middleware for Heterogeneous Data Integration and its Application for Drought—0
Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: A Systematic Scoping Review—0
Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes PredictionCode0
ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability—0
Interactive Ontology Matching with Cost-Efficient Learning—0
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings—0
Detection of bromochloro alkanes in indoor dust using a novel CP-Seeker data integration tool—0
Multicriteria Analysis Model in Sustainable Corn Farming Area Planning—0
Supervised Multiple Kernel Learning approaches for multi-omics data integrationCode0
Disambiguate Entity Matching using Large Language Models through Relation Discovery—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research—0
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods—0
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions—0
ReMatch: Retrieval Enhanced Schema Matching with LLMsCode0
preon: Fast and accurate entity normalization for drug names and cancer types in precision oncologyCode0
Statistical Agnostic Regression: a machine learning method to validate regression models—0
Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications—0
An Adaptive System Architecture for Multimodal Intelligent Transportation Systems—0
P3LS: Partial Least Squares under Privacy Preservation—0
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification—0
Analyses and Concerns in Precision Medicine: A Statistical Perspective—0
Data Integration Framework for Virtual Reality Enabled Digital Twins—0
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation—0
Towards a Microservice-based Middleware for a Multi-hazard Early Warning System—0
A deep learning pipeline for cross-sectional and longitudinal multiview data integrationCode0
Knowledge Graph Reasoning Based on Attention GCN—0
The Battleship Approach to the Low Resource Entity Matching ProblemCode0
Exploring Artificial Intelligence Methods for Energy Prediction in Healthcare Facilities: An In-Depth Extended Systematic Review—0
mvlearnR and Shiny App for multiview learningCode0
Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data—0
Regression-Based Analysis of Multimodal Single-Cell Data Integration Strategies—0
DREIFLUSS: A Minimalist Approach for Table Matching—0
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions—0
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects—0
Semantic Data Management in Data Lakes—0
Bi-Encoders based Species Normalization -- Pairwise Sentence Learning to Rank—0
Uncertainty in Automated Ontology Matching: Lessons Learned from an Empirical Experimentation—0
Graph Neural Network approaches for single-cell data: A recent overview—0
Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics—0
Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data IntegrationCode0
Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology DatasetsCode0
Smart City Digital Twin Framework for Real-Time Multi-Data Integration and Wide Public Distribution—0
GAME: Generalized deep learning model towards multimodal data integration for early screening of adolescent mental disorders—0
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