In-Database Data Imputation
Fuente:
arXiv
Saved in:
| Main Authors: | Perini, Massimo, Nikolic, Milos |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trading Vector Data in Vector Databases
by: Cheng, Jin, et al.
Published: (2025)
by: Cheng, Jin, et al.
Published: (2025)
MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version)
by: Liu, Hengyu, et al.
Published: (2025)
by: Liu, Hengyu, et al.
Published: (2025)
Beyond Accuracy: An Empirical Study of Uncertainty Estimation in Imputation
by: Hossain, Zarin Tahia, et al.
Published: (2025)
by: Hossain, Zarin Tahia, et al.
Published: (2025)
ImputeGAP: A Comprehensive Library for Time Series Imputation
by: Nater, Quentin, et al.
Published: (2025)
by: Nater, Quentin, et al.
Published: (2025)
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model
by: Wen, Yizhu, et al.
Published: (2024)
by: Wen, Yizhu, et al.
Published: (2024)
Relational Database Distillation: From Structured Tables to Condensed Graph Data
by: Gao, Xinyi, et al.
Published: (2025)
by: Gao, Xinyi, et al.
Published: (2025)
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
by: Yang, Xinyu, et al.
Published: (2024)
by: Yang, Xinyu, et al.
Published: (2024)
Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation
by: Kathiriya, Niket, et al.
Published: (2024)
by: Kathiriya, Niket, et al.
Published: (2024)
F-IVM: Analytics over Relational Databases under Updates
by: Kara, Ahmet, et al.
Published: (2023)
by: Kara, Ahmet, et al.
Published: (2023)
WikiDBGraph: A Data Management Benchmark Suite for Collaborative Learning over Database Silos
by: Wu, Zhaomin, et al.
Published: (2025)
by: Wu, Zhaomin, et al.
Published: (2025)
Graph Neural Networks on Graph Databases
by: Lopushanskyy, Dmytro, et al.
Published: (2024)
by: Lopushanskyy, Dmytro, et al.
Published: (2024)
Selecting Walk Schemes for Database Embedding
by: Lubarsky, Yuval Lev, et al.
Published: (2024)
by: Lubarsky, Yuval Lev, et al.
Published: (2024)
Differentially Private Synthetic Data Generation for Relational Databases
by: Alimohammadi, Kaveh, et al.
Published: (2024)
by: Alimohammadi, Kaveh, et al.
Published: (2024)
Database Views as Explanations for Relational Deep Learning
by: Rissaki, Agapi, et al.
Published: (2025)
by: Rissaki, Agapi, et al.
Published: (2025)
Incorporating Deep Learning Design in Database Queries
by: Lubarsky, Yuval Lev, et al.
Published: (2026)
by: Lubarsky, Yuval Lev, et al.
Published: (2026)
The Case for Instance-Optimized LLMs in OLAP Databases
by: Mohammadi, Bardia, et al.
Published: (2025)
by: Mohammadi, Bardia, et al.
Published: (2025)
Towards Establishing Guaranteed Error for Learned Database Operations
by: Zeighami, Sepanta, et al.
Published: (2024)
by: Zeighami, Sepanta, et al.
Published: (2024)
Fast Factorized Learning: Powered by In-Memory Database Systems
by: Stöckl, Bernhard, et al.
Published: (2025)
by: Stöckl, Bernhard, et al.
Published: (2025)
HAKES: Scalable Vector Database for Embedding Search Service
by: Hu, Guoyu, et al.
Published: (2025)
by: Hu, Guoyu, et al.
Published: (2025)
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
by: Zeng, Tianjing, et al.
Published: (2024)
by: Zeng, Tianjing, et al.
Published: (2024)
CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
by: Chronis, Yannis, et al.
Published: (2024)
by: Chronis, Yannis, et al.
Published: (2024)
RELOAD: A Robust and Efficient Learned Query Optimizer for Database Systems
by: Lee, Seokwon, et al.
Published: (2026)
by: Lee, Seokwon, et al.
Published: (2026)
IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas
by: Li, Jiayu, et al.
Published: (2023)
by: Li, Jiayu, et al.
Published: (2023)
HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving
by: Hu, Zhengding, et al.
Published: (2025)
by: Hu, Zhengding, et al.
Published: (2025)
Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases
by: Li, Ning, et al.
Published: (2025)
by: Li, Ning, et al.
Published: (2025)
RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems
by: Ouyang, Biao, et al.
Published: (2025)
by: Ouyang, Biao, et al.
Published: (2025)
Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach
by: Gu, Michael, et al.
Published: (2024)
by: Gu, Michael, et al.
Published: (2024)
Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
by: Zeighami, Sepanta, et al.
Published: (2024)
by: Zeighami, Sepanta, et al.
Published: (2024)
L2T-Tune:LLM-Guided Hybrid Database Tuning with LHS and TD3
by: Yang, Xinyue, et al.
Published: (2025)
by: Yang, Xinyue, et al.
Published: (2025)
On Enhancing Root Cause Analysis with SQL Summaries for Failures in Database Workload Replays at SAP HANA
by: Jambigi, Neetha, et al.
Published: (2024)
by: Jambigi, Neetha, et al.
Published: (2024)
DemoTuner: Automatic Performance Tuning for Database Management Systems Based on Demonstration Reinforcement Learning
by: Dou, Hui, et al.
Published: (2025)
by: Dou, Hui, et al.
Published: (2025)
Database Entity Recognition with Data Augmentation and Deep Learning
by: Fu, Zikun, et al.
Published: (2025)
by: Fu, Zikun, et al.
Published: (2025)
Privacy-Preserved Neural Graph Databases
by: Hu, Qi, et al.
Published: (2023)
by: Hu, Qi, et al.
Published: (2023)
Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions
by: Lai, Yuanhao, et al.
Published: (2025)
by: Lai, Yuanhao, et al.
Published: (2025)
UQE: A Query Engine for Unstructured Databases
by: Dai, Hanjun, et al.
Published: (2024)
by: Dai, Hanjun, et al.
Published: (2024)
RDBLearn: Simple In-Context Prediction Over Relational Databases
by: Zhang, Yanlin, et al.
Published: (2026)
by: Zhang, Yanlin, et al.
Published: (2026)
RelBench: A Benchmark for Deep Learning on Relational Databases
by: Robinson, Joshua, et al.
Published: (2024)
by: Robinson, Joshua, et al.
Published: (2024)
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database
by: Zhao, Zhanhao, et al.
Published: (2024)
by: Zhao, Zhanhao, et al.
Published: (2024)
Top Ten Challenges Towards Agentic Neural Graph Databases
by: Bai, Jiaxin, et al.
Published: (2025)
by: Bai, Jiaxin, et al.
Published: (2025)
MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retrieval Augmented Generation and Knowledge Graphs
by: Siragusa, Irene, et al.
Published: (2024)
by: Siragusa, Irene, et al.
Published: (2024)
Similar Items
-
Trading Vector Data in Vector Databases
by: Cheng, Jin, et al.
Published: (2025) -
MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version)
by: Liu, Hengyu, et al.
Published: (2025) -
Beyond Accuracy: An Empirical Study of Uncertainty Estimation in Imputation
by: Hossain, Zarin Tahia, et al.
Published: (2025) -
ImputeGAP: A Comprehensive Library for Time Series Imputation
by: Nater, Quentin, et al.
Published: (2025) -
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model
by: Wen, Yizhu, et al.
Published: (2024)