:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hahsler, Michael, Hornik, Kurt
Format:	Preprint
Published:	2008
Subjects:	Databases Machine Learning
Online Access:	https://arxiv.org/abs/0803.0966
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Apriori_Goal algorithm for constructing association rules for a database with a given classification
by: Billig, Vladimir
Published: (2024)

Dropout Robustness and Cognitive Profiling of Transformer Models via Stochastic Inference
by: Caiado, Antônio Junior Alves, et al.
Published: (2026)

TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency
by: Pardo, Fernando de Meer, et al.
Published: (2025)

Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond
by: Bărbulescu, George-Octavian, et al.
Published: (2024)

On Enhancing Root Cause Analysis with SQL Summaries for Failures in Database Workload Replays at SAP HANA
by: Jambigi, Neetha, et al.
Published: (2024)

Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation
by: Jenkins, Porter, et al.
Published: (2024)

meds_reader: A fast and efficient EHR processing library
by: Steinberg, Ethan, et al.
Published: (2024)

SEED: Domain-Specific Data Curation With Large Language Models
by: Chen, Zui, et al.
Published: (2023)

Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads
by: Yi, Zixuan, et al.
Published: (2025)

SemBench: A Benchmark for Semantic Query Processing Engines
by: Lao, Jiale, et al.
Published: (2025)

Causal DAG Summarization (Full Version)
by: Zeng, Anna, et al.
Published: (2025)

Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks
by: Niro, Alessandro, et al.
Published: (2024)

Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach
by: Gu, Michael, et al.
Published: (2024)

Not All Neighbors Matter: Understanding the Impact of Graph Sparsification on GNN Pipelines
by: Song, Yuhang, et al.
Published: (2026)

WikiDBGraph: A Data Management Benchmark Suite for Collaborative Learning over Database Silos
by: Wu, Zhaomin, et al.
Published: (2025)

SIFBench: An Extensive Benchmark for Fatigue Analysis
by: Gautam, Tushar, et al.
Published: (2025)

Task-Agnostic Contrastive Pretraining for Relational Deep Learning
by: Peleška, Jakub, et al.
Published: (2025)

SimBank: from Simulation to Solution in Prescriptive Process Monitoring
by: De Moor, Jakob, et al.
Published: (2025)

Can Uncertainty Quantification Improve Learned Index Benefit Estimation?
by: Yu, Tao, et al.
Published: (2024)

TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware
by: Sun, Wenbo, et al.
Published: (2025)

Training-Free Query Optimization via LLM-Based Plan Similarity
by: Vasilenko, Nikita, et al.
Published: (2025)

Relational Database Distillation: From Structured Tables to Condensed Graph Data
by: Gao, Xinyi, et al.
Published: (2025)

Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth
by: Yuan, Xinyu, et al.
Published: (2024)

Cross-Model Consistency of Feature Importance in Electrospinning: Separating Robust from Model-Dependent Features
by: Mahdian, Mehrab, et al.
Published: (2026)

Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classification
by: Zhu, Wenxi, et al.
Published: (2026)

Machine Learning-Based Pre-Test Risk Stratification for PCR-Confirmed Chlamydia Using Patient-Reported Data and Urine Biomarkers
by: Mahdian, Mehrab, et al.
Published: (2026)

GEqO: ML-Accelerated Semantic Equivalence Detection
by: Haynes, Brandon, et al.
Published: (2024)

Exploring Urban Land Use Patterns by Pattern Mining and Unsupervised Learning
by: Dobesova, Zdena, et al.
Published: (2026)

Qrlew: Rewriting SQL into Differentially Private SQL
by: Grislain, Nicolas, et al.
Published: (2024)

Optimize Cardinality Estimation Model Pretraining by Simplifying the Training Datasets
by: Fang, Boyang
Published: (2025)

SchemaDB: Structures in Relational Datasets
by: Christopher, Cody James, et al.
Published: (2021)

DIM-SUM: Dynamic IMputation for Smart Utility Management
by: Hildebrant, Ryan, et al.
Published: (2025)

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis
by: Qin, Jiayong, et al.
Published: (2025)

Sketched Sum-Product Networks for Joins
by: Tsan, Brian, et al.
Published: (2025)

gHAWK: Local and Global Structure Encoding for Scalable Training of Graph Neural Networks on Knowledge Graphs
by: Sabir, Humera, et al.
Published: (2025)

RFOD: Random Forest-based Outlier Detection for Tabular Data
by: Ang, Yihao, et al.
Published: (2025)

GrASP: A Generalizable Address-based Semantic Prefetcher for Scalable Transactional and Analytical Workloads
by: Zirak, Farzaneh, et al.
Published: (2025)

Fast Factorized Learning: Powered by In-Memory Database Systems
by: Stöckl, Bernhard, et al.
Published: (2025)

Stress-Testing Causal Claims via Cardinality Repairs
by: Gabbay, Yarden, et al.
Published: (2025)

Aegis: A Correlation-Based Data Masking Advisor for Data Sharing Ecosystems
by: Laskar, Omar Islam, et al.
Published: (2025)