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Data Integration
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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:
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Predicting Cardiopulmonary Exercise Testing Outcomes in Congenital Heart Disease Through Multi-modal Data Integration and Geometric Learning
A Circular Construction Product Ontology for End-of-Life Decision-Making
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE Inference
RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports
Representation Retrieval Learning for Heterogeneous Data Integration
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets
Identification of Minimally Restrictive Assembly Sequences using Supervisory Control Theory
Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type Annotation
Fault Localization and State Estimation of Power Grid under Parallel Cyber-Physical Attacks
Systematic Literature Review on Clinical Trial Eligibility Matching
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios
Intermediate triple table: A general architecture for virtual knowledge graphs
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration
Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models
Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet
From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants
Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance
CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
Autellix: An Efficient Serving Engine for LLM Agents as General Programs
Minimizing Instability in Strategy-Proof Matching Mechanism Using A Linear Programming Approach
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Observability-Blocking Controls for Double-Integrator and Higher Order Integrator Networks
Evolving Hate Speech Online: An Adaptive Framework for Detection and Mitigation
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers
Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data
LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights
Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation
Ilargi: a GPU Compatible Factorized ML Model Training Framework
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
Common Foundations for SHACL, ShEx, and PG-Schema
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin
Enhancing Model Defense Against Jailbreaks with Proactive Safety Reasoning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.