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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:
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis
CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective
Using mathematical models of heart cells to assess the safety of new pharmaceutical drugs
Deep Multi-modal Breast Cancer Detection Network
Leveraging Language Models for Automated Patient Record Linkage
LithOS: An Operating System for Efficient Machine Learning on GPUs
Beamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural Networks
Improvable Students in School Choice
Progent: Programmable Privilege Control for LLM Agents
Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations
Ctrl-Z: Controlling AI Agents via Resampling
Statistical Linear Regression Approach to Kalman Filtering and Smoothing under Cyber-Attacks
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather
On-Chip and Off-Chip TIA Amplifiers for Nanopore Signal Readout Design, Performance and Challenges: A Review
Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information
Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases
The challenge of uncertainty quantification of large language models in medicine
OmniEcon Nexus: Global Microeconomic Simulation Engine
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making
Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets
Generative Classifier for Domain Generalization
Matching, Unanticipated Experiences, Divorce, Flirting, Rematching, Etc
Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval
A Systematic Decade Review of Trip Route Planning with Travel Time Estimation based on User Preferences and Behavior
Multimodal Data Integration for Sustainable Indoor Gardening: Tracking Anyplant with Time Series Foundation Model
Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
Federated Learning: A new frontier in the exploration of multi-institutional medical imaging data
MODIS: Multi-Omics Data Integration for Small and Unpaired Datasets
SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment
GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights
A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization
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