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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 326–350 of 431 papers

TitleStatusHype
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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