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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 276–300 of 431 papers

TitleStatusHype
Graph Neural Networks for Breast Cancer Data Integration—0
GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights—0
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection—0
High-resolution rainfall-runoff modeling using graph neural network—0
HINO: a BFO-aligned ontology representing human molecular interactions and pathways—0
Human's Role in-the-Loop—0
Hybrid Modelling in Oncology: Sucesses, Challenges and Hopes—0
Ilargi: a GPU Compatible Factorized ML Model Training Framework—0
Incomplete Multimodal Learning for Complex Brain Disorders Prediction—0
Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition—0
InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions—0
Integration of Unpaired Single-cell Chromatin Accessibility and Gene Expression Data via Adversarial Learning—0
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives—0
Intelligent Operation and Maintenance and Prediction Model Optimization for Improving Wind Power Generation Efficiency—0
Intelligent Software Web Agents: A Gap Analysis—0
Interactive Ontology Matching with Cost-Efficient Learning—0
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking—0
IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose—0
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being—0
It's AI Match: A Two-Step Approach for Schema Matching Using Embeddings—0
KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs—0
KnowGraph-PM: a Knowledge Graph based Pricing Model for Semiconductors Supply Chains—0
Knowledge Graph Reasoning Based on Attention GCN—0
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions—0
Knowledge Graphs: The Future of Data Integration and Insightful Discovery—0
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