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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 251–275 of 431 papers

TitleStatusHype
Current and future directions in network biology—0
When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System—0
A Multimodal Learning Framework for Comprehensive 3D Mineral Prospectivity Modeling with Jointly Learned Structure-Fluid Relationships—0
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case—0
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events—0
BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings—0
A Primer on the Data Cleaning Pipeline—0
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity—0
Alternative Telescopic Displacement: An Efficient Multimodal Alignment MethodCode0
A Comparison of Neuroelectrophysiology Databases—0
A survey on deep learning approaches for data integration in autonomous driving system—0
Cross Modal Data Discovery over Structured and Unstructured Data LakesCode0
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuningCode0
Stochastic Biological System-of-Systems Modelling for iPSC Culture—0
Incomplete Multimodal Learning for Complex Brain Disorders Prediction—0
Federated Learning over Harmonized Data Silos—0
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources—0
Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition—0
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data—0
Learnings from Data Integration for Augmented Language Models—0
Scalable Randomized Kernel Methods for Multiview Data Integration and PredictionCode0
Assessing the Reproducibility of Machine-learning-based Biomarker Discovery in Parkinson's Disease—0
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review—0
Mining the contribution of intensive care clinical course to outcome after traumatic brain injuryCode0
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design—0
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