Cover Image

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Xianghong, Zhang, Tieying, He, Xiao, Li, Haoyang, Kang, Rong, Wang, Shuai, Xu, Linhui, Liang, Zhimin, Luo, Shangyu, Zhang, Lei, Chen, Jianjun
Format:	Preprint
Published:	2025
Subjects:	Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models
by: Xu, Xianghong, et al.
Published: (2025)

VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era
by: Kang, Rong, 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)

Zero-Cost NDV Estimation from Columnar File Metadata
by: Brisson, Claude
Published: (2026)

Data-Agnostic Cardinality Learning from Imperfect Workloads
by: Wu, Peizhi, et al.
Published: (2025)

Can Large Language Models be a Cardinality Estimator? An Empirical study
by: Liu, Liangzu, et al.
Published: (2026)

LLMIA: An Out-of-the-Box Index Advisor via In-Context Learning with LLMs
by: Zhao, Xinxin, et al.
Published: (2025)

ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments
by: Kang, Rong, et al.
Published: (2025)

LASER: A Data-Centric Method for Low-Cost and Efficient SQL Rewriting based on SQL-GRPO
by: Li, Jiahui, et al.
Published: (2026)

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
by: Li, Haoyang, et al.
Published: (2025)

Query Performance Explanation through Large Language Model for HTAP Systems
by: Xiu, Haibo, et al.
Published: (2024)

E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model
by: Huang, Xinmei, et al.
Published: (2024)

DeepPrep: An LLM-Powered Agentic System for Autonomous Data Preparation
by: Fan, Meihao, et al.
Published: (2026)

Intelligent Transaction Scheduling via Conflict Prediction in OLTP DBMS
by: Zhang, Tieying, et al.
Published: (2024)

ACE: A Cardinality Estimator for Set-Valued Queries
by: Sheng, Yufan, et al.
Published: (2025)

TKHist: Cardinality Estimation for Join Queries via Histograms with Dominant Attribute Correlation Finding
by: Li, Renrui, et al.
Published: (2025)

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization
by: Tang, Tianhao, et al.
Published: (2026)

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction
by: Ma, Lei, et al.
Published: (2026)

Relation-Stratified Sampling for Shapley Values Estimation in Relational Databases
by: Alizad, Amirhossein, et al.
Published: (2025)

Cardinality Estimation for High Dimensional Similarity Queries with Adaptive Bucket Probing
by: Chen, Zhonghan, et al.
Published: (2026)

Efficient Multiple Temporal Network Kernel Density Estimation
by: Shao, Yu, et al.
Published: (2025)

RelServe: Fast LLM Inference Serving on Relational Data
by: Zhang, Xin, et al.
Published: (2025)

LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation
by: Teng, Fei, et al.
Published: (2025)

AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation
by: Zhang, Jintao, et al.
Published: (2024)

DistJoin: A Decoupled Join Cardinality Estimator based on Adaptive Neural Predicate Modulation
by: Zhang, Kaixin, et al.
Published: (2025)

Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy
by: He, Yizhang, et al.
Published: (2025)

PACE: Poisoning Attacks on Learned Cardinality Estimation
by: Zhang, Jintao, et al.
Published: (2024)

Numerical Estimation of Spatial Distributions under Differential Privacy
by: Du, Leilei, et al.
Published: (2024)

Personalized w-Event Privacy for Infinite Stream Estimation
by: Du, Leilei, et al.
Published: (2026)

Infinite Stream Estimation under Personalized $w$-Event Privacy
by: Du, Leilei, et al.
Published: (2025)

Updateable Data-Driven Cardinality Estimator with Bounded Q-error
by: Li, Yingze, et al.
Published: (2024)

AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
by: Li, Xunkai, et al.
Published: (2024)

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks
by: Li, Haoyang, et al.
Published: (2025)

Wheel Dynamic Load Estimation Method Based on Gas Pressure of Hydro-pneumatic Suspension
by: Liao, Qijun, et al.
Published: (2026)

Forgetting by Pruning: Data Deletion in Join Cardinality Estimation
by: He, Chaowei, et al.
Published: (2025)

Distinctiveness Maximization in Datasets Assemblage
by: Wang, Tingting, et al.
Published: (2024)

CardOOD: Robust Query-driven Cardinality Estimation under Out-of-Distribution
by: Li, Rui, et al.
Published: (2024)

LpBound: Pessimistic Cardinality Estimation using $\ell_p$-Norms of Degree Sequences
by: Zhang, Haozhe, et al.
Published: (2025)

Towards Reliable Agentic Progressive Text-to-Visualization with Verification Rules
by: Xu, Wenxin, et al.
Published: (2026)

Join Cardinality Estimation with OmniSketches
by: Justen, David, et al.
Published: (2025)