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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.
Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions
Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation
Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics
Analysis of Blocking in mmWave Cellular Systems: Characterization of the LOS and NLOS Intervals in Urban Scenarios
Effect of Correlated Building Blockages on the Ergodic Capacity of mmWave Systems in Urban Scenarios
Skeleton Detection Using Dual Radars with Integration of Dual-View CNN Models and mmPose
Multimodal Alignment and Fusion: A Survey
Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps
Avoiding Deadlocks Is Not Enough: Analysis and Resolution of Blocked Airplanes
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding
IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose
Benchmarking pre-trained text embedding models in aligning built asset information
Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging
Block based Adaptive Compressive Sensing with Sampling Rate Control
Weakly-Supervised Multimodal Learning on MIMIC-CXR
Leveraging large language models for efficient representation learning for entity resolution
Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
LOS/NLOS Estimators for mmWave Cellular Systems With Blockages
ACCIO: Table Understanding Enhanced via Contrastive Learning with Aggregations
Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs
TableGPT2: A Large Multimodal Model with Tabular Data Integration
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series
Ontology Population using LLMs
Reducing Biases in Record Matching Through Scores Calibration
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
ALISE: Accelerating Large Language Model Serving with Speculative Scheduling
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching
Novel Architecture for Distributed Travel Data Integration and Service Provision Using Microservices
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and Resolution
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