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 91–100 of 431 papers

TitleStatusHype
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding—0
IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose—0
Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset—0
Benchmarking pre-trained text embedding models in aligning built asset informationCode0
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal NeuroimagingCode0
Weakly-Supervised Multimodal Learning on MIMIC-CXRCode0
Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRICode0
TableGPT2: A Large Multimodal Model with Tabular Data IntegrationCode4
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
Reducing Biases in Record Matching Through Scores CalibrationCode0
Show:102550
← PrevPage 10 of 44Next →

No leaderboard results yet.