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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 251–300 of 431 papers

TitleStatusHype
Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs—0
Scalable Similarity Joins of Tokenized Strings—0
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case—0
scICML: Information-theoretic Co-clustering-based Multi-view Learning for the Integrative Analysis of Single-cell Multi-omics data—0
Secure and Differentially Private Bayesian Learning on Distributed Data—0
Segment-based fusion of multi-sensor multi-scale satellite soil moisture retrievals—0
Semantic Annotation for Tabular Data—0
Semantic Data Management in Data Lakes—0
Siamese Graph Neural Networks for Data Integration—0
Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases—0
Skeleton Detection Using Dual Radars with Integration of Dual-View CNN Models and mmPose—0
Smart City Digital Twin Framework for Real-Time Multi-Data Integration and Wide Public Distribution—0
Specifying, Monitoring, and Executing Workflows in Linked Data Environments—0
Statistical Agnostic Regression: a machine learning method to validate regression models—0
Stochastic Biological System-of-Systems Modelling for iPSC Culture—0
Stratified Data Integration—0
Streamlining Knowledge Graph Creation with PyRML—0
Structured Matrix Completion with Applications to Genomic Data Integration—0
Supervised prediction of aging-related genes from a context-specific protein interaction subnetwork—0
Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning—0
Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation—0
Systematic Literature Review on Clinical Trial Eligibility Matching—0
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration—0
Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift—0
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach—0
TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients—0
Technical Report on Data Integration and Preparation—0
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification—0
The challenge of uncertainty quantification of large language models in medicine—0
The S2 Hierarchical Discrete Global Grid as a Nexus for Data Representation, Integration, and Querying Across Geospatial Knowledge Graphs—0
Time Series Data Imputation: A Survey on Deep Learning Approaches—0
Towards a Generic Multimodal Architecture for Batch and Streaming Big Data Integration—0
Towards a Microservice-based Middleware for a Multi-hazard Early Warning System—0
Towards a Modular Ontology for Space Weather Research—0
Towards future directions in data-integrative supervised prediction of human aging-related genes—0
Towards multiple kernel principal component analysis for integrative analysis of tumor samples—0
Towards Scalable Schema Mapping using Large Language Models—0
Towards Unified Neural Decoding with Brain Functional Network Modeling—0
Transforming Social Science Research with Transfer Learning: Social Science Survey Data Integration with AI—0
TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset—0
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets—0
Uncertainty in Automated Ontology Matching: Lessons Learned from an Empirical Experimentation—0
Understanding Reflection Needs for Personal Health Data in Diabetes—0
Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning—0
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding—0
Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models—0
Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach—0
Reasoning about disclosure in data integration in the presence of source constraints—0
When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System—0
VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections—0
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