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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
RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy—0
It's AI Match: A Two-Step Approach for Schema Matching Using Embeddings—0
Graph Neural Networks for Multimodal Single-Cell Data IntegrationCode2
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
Easy Semantification of Bioassays—0
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic—0
A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry—0
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time SeriesCode0
High-resolution rainfall-runoff modeling using graph neural network—0
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical TextCode1
Proceedings 37th International Conference on Logic Programming (Technical Communications)—0
PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema MatchingCode0
Making Table Understanding Work in Practice—0
Integrated community occupancy models: A framework to assess occurrence and biodiversity dynamics using multiple data sourcesCode0
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach—0
Towards a Generic Multimodal Architecture for Batch and Streaming Big Data Integration—0
Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified FormatCode1
Parallelisable Existential Rules: a Story of Pieces—0
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and FairnessCode1
Computer-Assisted Analysis of Biomedical Images—0
Dual-Objective Fine-Tuning of BERT for Entity MatchingCode1
Modeling multi-scale data via a network of networks—0
Dynamical models for metabolomics data integration—0
Stratified Data Integration—0
Business Entity Matching with Siamese Graph Convolutional Networks—0
Federated Multi-View Learning for Private Medical Data Integration and Analysis—0
Integration of Unpaired Single-cell Chromatin Accessibility and Gene Expression Data via Adversarial Learning—0
OPTION: OPTImization Algorithm Benchmarking ONtology—0
Large Scale Record Linkage in the Presence of Missing Data—0
Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis—0
Technical Report on Data Integration and Preparation—0
Cognitive network science for understanding online social cognitions: A brief review—0
Intelligent Software Web Agents: A Gap Analysis—0
VeeAlign: Multifaceted Context Representation using Dual Attention for Ontology AlignmentCode0
A Variational Information Bottleneck Approach to Multi-Omics Data IntegrationCode1
Gesture Recognition in Robotic Surgery: a Review—0
An attention model to analyse the risk of agitation and urinary tract infections in people with dementiaCode0
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
Semantic Annotation for Tabular Data—0
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models—0
Linear Regression Evaluation of Search Engine Automatic Search Performance Based on Hadoop and R—0
Learning to Characterize Matching ExpertsCode0
A High Precision Pipeline for Financial Knowledge Graph Construction—0
Patient similarity: methods and applications—0
Time Series Data Imputation: A Survey on Deep Learning Approaches—0
DANAE: a denoising autoencoder for underwater attitude estimationCode0
COMO: A Pipeline for Multi-Omics Data Integration in Metabolic Modeling and Drug DiscoveryCode1
GripNet: Graph Information Propagation on Supergraph for Heterogeneous GraphsCode1
Diagnostic data integration using deep neural networks for real-time plasma analysis—0
Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach—0
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