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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 176–200 of 431 papers

TitleStatusHype
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity—0
A review of machine learning approaches, challenges and prospects for computational tumor pathology—0
Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques—0
Accu-Help: A Machine Learning based Smart Healthcare Framework for Accurate Detection of Obsessive Compulsive Disorder—0
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference—0
Computer-Assisted Analysis of Biomedical Images—0
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making—0
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data—0
Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data—0
Community-Based Data Integration of Course and Job Data in Support of Personalized Career-Education Recommendations—0
Federated Multi-View Learning for Private Medical Data Integration and Analysis—0
Federated Learning over Harmonized Data Silos—0
Common Foundations for SHACL, ShEx, and PG-Schema—0
A Primer on the Data Cleaning Pipeline—0
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data—0
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data—0
Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration—0
Federated Learning: A new frontier in the exploration of multi-institutional medical imaging data—0
Feature Selection for Data Integration with Mixed Multi-view Data—0
Combining exome and gene expression datasets in one graphical model of disease to empower the discovery of disease mechanisms—0
Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: A Systematic Scoping Review—0
GeoFault: A well-founded fault ontology for interoperability in geological modeling—0
Geospatial Narratives and their Spatio-Temporal Dynamics: Commonsense Reasoning for High-level Analyses in Geographic Information Systems—0
Gesture Recognition in Robotic Surgery: a Review—0
Fast Record Linkage for Company Entities—0
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