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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 301–350 of 431 papers

TitleStatusHype
K-shell decomposition reveals hierarchical cortical organization of the human brain—0
Large Scale Record Linkage in the Presence of Missing Data—0
LEAPME: Learning-based Property Matching with Embeddings—0
Learnings from Data Integration for Augmented Language Models—0
Leveraging Language Models for Automated Patient Record Linkage—0
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions—0
Leveraging Large Language Models for Entity Matching—0
Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises—0
Linear Regression Evaluation of Search Engine Automatic Search Performance Based on Hadoop and R—0
Linking Graph Entities with Multiplicity and Provenance—0
Local Embeddings for Relational Data Integration—0
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities—0
Making Table Understanding Work in Practice—0
Mapping-equivalence and oid-equivalence of single-function object-creating conjunctive queries—0
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching—0
Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Network—0
metasnf: Meta Clustering with Similarity Network Fusion in R—0
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration—0
MISFEAT: Feature Selection for Subgroups with Systematic Missing Data—0
MMREC: LLM Based Multi-Modal Recommender System—0
Modeling multi-scale data via a network of networks—0
Multicriteria Analysis Model in Sustainable Corn Farming Area Planning—0
Multifaceted Context Representation using Dual Attention for Ontology Alignment—0
Multi-faceted Neuroimaging Data Integration via Analysis of Subspaces—0
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services—0
Multi-Kernel LS-SVM Based Bio-Clinical Data Integration: Applications to Ovarian Cancer—0
Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset—0
Multilayer network approaches to omics data integration in Digital Twins for cancer research—0
Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure—0
Multimodal Alignment and Fusion: A Survey—0
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review—0
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions—0
Multimodal Data Integration for Sustainable Indoor Gardening: Tracking Anyplant with Time Series Foundation Model—0
Multi-Modal Dataset Creation for Federated Learning with DICOM Structured Reports—0
Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer—0
Multimodal Generative AI for Story Point Estimation in Software Development—0
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects—0
Multi-object Data Integration in the Study of Primary Progressive Aphasia—0
Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning—0
Semantic interoperability based on the European Materials and Modelling Ontology and its ontological paradigm: Mereosemiotics—0
Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encodings—0
Multitask Learning without Label Correspondences—0
Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics—0
NCBO Ontology Recommender 2.0: An Enhanced Approach for Biomedical Ontology Recommendation—0
Need for Design Patterns: Interoperability Issues and Modelling Challenges for Observational Data—0
NEMA: Automatic Integration of Large Network Management Databases—0
Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data—0
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects—0
Novel Architecture for Distributed Travel Data Integration and Service Provision Using Microservices—0
On the effects of alternative optima in context-specific metabolic model predictions—0
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