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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 376–400 of 431 papers

TitleStatusHype
Data integration and prediction models of photovoltaic production from Brazilian northeastern—0
Siamese Graph Neural Networks for Data Integration—0
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales—0
Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques—0
Leveraging Legacy Data to Accelerate Materials Design via Preference LearningCode0
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data—0
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data—0
Ontology Based Information Integration: A Survey—0
Proceedings 35th International Conference on Logic Programming (Technical Communications)—0
Local Embeddings for Relational Data Integration—0
Supervised prediction of aging-related genes from a context-specific protein interaction subnetwork—0
Linking Graph Entities with Multiplicity and Provenance—0
Fast Record Linkage for Company Entities—0
A Survey of Data Quality Measurement and Monitoring Tools—0
Reasoning about disclosure in data integration in the presence of source constraints—0
Designing and Implementing Data Warehouse for Agricultural Big Data—0
Feature Selection for Data Integration with Mixed Multi-view Data—0
Scalable Similarity Joins of Tokenized Strings—0
Hybrid Modelling in Oncology: Sucesses, Challenges and Hopes—0
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets—0
Reuse and Adaptation for Entity Resolution through Transfer Learning—0
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities—0
Specifying, Monitoring, and Executing Workflows in Linked Data Environments—0
K-shell decomposition reveals hierarchical cortical organization of the human brain—0
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical ModelsCode0
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