SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 381–390 of 431 papers

TitleStatusHype
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
Show:102550
← PrevPage 39 of 44Next →

No leaderboard results yet.