Forgetting by Pruning: Data Deletion in Join Cardinality Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | He, Chaowei, Liu, Yuanjun, Ma, Qingzhi, Ren, Shenyuan, Luo, Xizhao, Zhao, Lei, Liu, An |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TKHist: Cardinality Estimation for Join Queries via Histograms with Dominant Attribute Correlation Finding
by: Li, Renrui, et al.
Published: (2025)
by: Li, Renrui, et al.
Published: (2025)
A Lightweight Learned Cardinality Estimation Model
by: Zhu, Yaoyu, et al.
Published: (2025)
by: Zhu, Yaoyu, et al.
Published: (2025)
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
by: Schwabe, Tim, et al.
Published: (2023)
by: Schwabe, Tim, et al.
Published: (2023)
DistJoin: A Decoupled Join Cardinality Estimator based on Adaptive Neural Predicate Modulation
by: Zhang, Kaixin, et al.
Published: (2025)
by: Zhang, Kaixin, et al.
Published: (2025)
Optimizing Context-Enhanced Relational Joins
by: Sanca, Viktor, et al.
Published: (2023)
by: Sanca, Viktor, et al.
Published: (2023)
QCardEst/QCardCorr: Quantum Cardinality Estimation and Correction
by: Winker, Tobias, et al.
Published: (2025)
by: Winker, Tobias, et al.
Published: (2025)
ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases -- No Data, No Query, No Retraining
by: Xu, Xianghong, et al.
Published: (2025)
by: Xu, Xianghong, et al.
Published: (2025)
Data Collection and Labeling Techniques for Machine Learning
by: Huang, Qianyu, et al.
Published: (2024)
by: Huang, Qianyu, et al.
Published: (2024)
MontePrep: Monte-Carlo-Driven Automatic Data Preparation without Target Data Instances
by: Ge, Congcong, et al.
Published: (2025)
by: Ge, Congcong, et al.
Published: (2025)
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
by: Lin, Xiaotian, et al.
Published: (2025)
by: Lin, Xiaotian, et al.
Published: (2025)
Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
by: Wang, Jialiang, et al.
Published: (2025)
by: Wang, Jialiang, et al.
Published: (2025)
Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models
by: Liu, Wei, et al.
Published: (2026)
by: Liu, Wei, et al.
Published: (2026)
AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery
by: Kleczek, Darek, et al.
Published: (2026)
by: Kleczek, Darek, et al.
Published: (2026)
NeurDB: An AI-powered Autonomous Data System
by: Ooi, Beng Chin, et al.
Published: (2024)
by: Ooi, Beng Chin, et al.
Published: (2024)
OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML
by: Zhou, Xuanhe, et al.
Published: (2025)
by: Zhou, Xuanhe, et al.
Published: (2025)
Cortex AISQL: A Production SQL Engine for Unstructured Data
by: Liskowski, Paweł, et al.
Published: (2025)
by: Liskowski, Paweł, et al.
Published: (2025)
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration
by: Kayali, Moe, et al.
Published: (2024)
by: Kayali, Moe, et al.
Published: (2024)
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs
by: Zhou, Wei, et al.
Published: (2026)
by: Zhou, Wei, et al.
Published: (2026)
ACE: A Cardinality Estimator for Set-Valued Queries
by: Sheng, Yufan, et al.
Published: (2025)
by: Sheng, Yufan, et al.
Published: (2025)
TRAP: Tail-aware Ranking Attack for World-Model Planning
by: Duan, Siyuan, et al.
Published: (2026)
by: Duan, Siyuan, et al.
Published: (2026)
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
by: Khatiwada, Aamod, et al.
Published: (2024)
by: Khatiwada, Aamod, et al.
Published: (2024)
KGPrune: a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning
by: Monnin, Pierre, et al.
Published: (2024)
by: Monnin, Pierre, et al.
Published: (2024)
CardOOD: Robust Query-driven Cardinality Estimation under Out-of-Distribution
by: Li, Rui, et al.
Published: (2024)
by: Li, Rui, et al.
Published: (2024)
Data Science: a Natural Ecosystem
by: Porcu, Emilio, et al.
Published: (2025)
by: Porcu, Emilio, et al.
Published: (2025)
TableGPT2: A Large Multimodal Model with Tabular Data Integration
by: Su, Aofeng, et al.
Published: (2024)
by: Su, Aofeng, et al.
Published: (2024)
Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2026)
by: Hofer, Marvin, et al.
Published: (2026)
Making LLMs Work for Enterprise Data Tasks
by: Demiralp, Çağatay, et al.
Published: (2024)
by: Demiralp, Çağatay, et al.
Published: (2024)
Mixtera: A Data Plane for Foundation Model Training
by: Böther, Maximilian, et al.
Published: (2025)
by: Böther, Maximilian, et al.
Published: (2025)
Process Mining for Unstructured Data: Challenges and Research Directions
by: Koschmider, Agnes, et al.
Published: (2023)
by: Koschmider, Agnes, et al.
Published: (2023)
Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
by: Chen, Tianyi, et al.
Published: (2025)
by: Chen, Tianyi, et al.
Published: (2025)
CAMAL: Optimizing LSM-trees via Active Learning
by: Yu, Weiping, et al.
Published: (2024)
by: Yu, Weiping, et al.
Published: (2024)
Towards Synthesizing High-Dimensional Tabular Data with Limited Samples
by: Li, Zuqing, et al.
Published: (2025)
by: Li, Zuqing, et al.
Published: (2025)
KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2025)
by: Hofer, Marvin, et al.
Published: (2025)
Robust Detection of Synthetic Tabular Data under Schema Variability
by: Kindji, G. Charbel N., et al.
Published: (2025)
by: Kindji, G. Charbel N., et al.
Published: (2025)
ScaleDoc: Scaling LLM-based Predicates over Large Document Collections
by: Zhang, Hengrui, et al.
Published: (2025)
by: Zhang, Hengrui, et al.
Published: (2025)
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
by: Ranjan, Rishabh, et al.
Published: (2025)
by: Ranjan, Rishabh, 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)
ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis
by: Manatkar, Abhijit, et al.
Published: (2024)
by: Manatkar, Abhijit, et al.
Published: (2024)
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport
by: Pirhadi, Alireza, et al.
Published: (2024)
by: Pirhadi, Alireza, et al.
Published: (2024)
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs
by: Pons, Gerard, et al.
Published: (2024)
by: Pons, Gerard, et al.
Published: (2024)
Similar Items
-
TKHist: Cardinality Estimation for Join Queries via Histograms with Dominant Attribute Correlation Finding
by: Li, Renrui, et al.
Published: (2025) -
A Lightweight Learned Cardinality Estimation Model
by: Zhu, Yaoyu, et al.
Published: (2025) -
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
by: Schwabe, Tim, et al.
Published: (2023) -
DistJoin: A Decoupled Join Cardinality Estimator based on Adaptive Neural Predicate Modulation
by: Zhang, Kaixin, et al.
Published: (2025) -
Optimizing Context-Enhanced Relational Joins
by: Sanca, Viktor, et al.
Published: (2023)