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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

Showing 301–350 of 431 papers

TitleStatusHype
Diffusion Transport Alignment—0
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey—0
Driving Digital Engineering Integration and Interoperability Through Semantic Integration of Models with Ontologies—0
A review of machine learning approaches, challenges and prospects for computational tumor pathology—0
FadMan: Federated Anomaly Detection across Multiple Attributed Networks—0
Towards future directions in data-integrative supervised prediction of human aging-related genes—0
scICML: Information-theoretic Co-clustering-based Multi-view Learning for the Integrative Analysis of Single-cell Multi-omics data—0
KnowGraph-PM: a Knowledge Graph based Pricing Model for Semiconductors Supply Chains—0
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services—0
Human's Role in-the-Loop—0
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
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
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
Parallelisable Existential Rules: a Story of Pieces—0
Computer-Assisted Analysis of Biomedical Images—0
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
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
Patient similarity: methods and applications—0
A High Precision Pipeline for Financial Knowledge Graph Construction—0
Time Series Data Imputation: A Survey on Deep Learning Approaches—0
DANAE: a denoising autoencoder for underwater attitude estimationCode0
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