:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shi, Yuhan, Yao, Yuanyuan, Chen, Lu, Khayati, Mourad, Li, Tianyi
Format:	Preprint
Published:	2026
Subjects:	Databases
Online Access:	https://arxiv.org/abs/2605.04902
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ImputeGAP: A Comprehensive Library for Time Series Imputation
by: Nater, Quentin, et al.
Published: (2025)

Multivariate Time Series Cleaning under Speed Constraints
by: Zhang, Aoqian, et al.
Published: (2024)

RetClean: Retrieval-Based Data Cleaning Using Foundation Models and Data Lakes
by: Naeem, Zan Ahmad, et al.
Published: (2023)

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

UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning
by: Liang, Zhiyu, et al.
Published: (2023)

Moon: A Modality Conversion-based Efficient Multivariate Time Series Anomaly Detection
by: Yao, Yuanyuan, et al.
Published: (2025)

Data Cleaning of Data Streams
by: Restat, Valerie, et al.
Published: (2025)

Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
by: Tan, Zhao, et al.
Published: (2026)

OneDB: A Distributed Multi-Metric Data Similarity Search System
by: Qian, Tang, et al.
Published: (2025)

Replacing Multi-Step Assembly of Data Preparation Pipelines with One-Step LLM Pipeline Generation for Table QA
by: Li, Fengyu, et al.
Published: (2026)

Data Cleaning Using Large Language Models
by: Zhang, Shuo, et al.
Published: (2024)

MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance
by: d'Hondt, Jens E., et al.
Published: (2025)

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
by: Chen, Tianyi, et al.
Published: (2025)

Data Cleaning and Machine Learning: A Systematic Literature Review
by: Côté, Pierre-Olivier, et al.
Published: (2023)

Combining Time-Series and Graph Data: A Survey of Existing Systems and Approaches
by: Ammar, Mouna, et al.
Published: (2026)

AegisBlock: A Privacy-Preserving Medical Research Framework using Blockchain
by: Garg, Calkin, et al.
Published: (2025)

Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection
by: Wang, Yuanyi, et al.
Published: (2024)

E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
by: Lai, Zhichen, et al.
Published: (2024)

MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
by: Liu, Qinghua, et al.
Published: (2025)

DeepEye: A Steerable Self-driving Data Agent System
by: Li, Boyan, et al.
Published: (2026)

Improving Data Cleaning Using Discrete Optimization
by: Smith, Kenneth, et al.
Published: (2024)

CuTS: Customizable Tabular Synthetic Data Generation
by: Vero, Mark, et al.
Published: (2023)

Cleaning data with Swipe
by: Boeckling, Toon, et al.
Published: (2024)

Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy
by: Mohammed, Sedir, et al.
Published: (2025)

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)

TODS: An Automated Time Series Outlier Detection System
by: Lai, Kwei-Herng, et al.
Published: (2020)

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark
by: Li, Lan, et al.
Published: (2024)

LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs
by: Biester, Fabian, et al.
Published: (2024)

MMTS-BENCH: A Comprehensive Benchmark for Time Series Understanding and Reasoning
by: Yin, Yao, et al.
Published: (2026)

The Human Factor in Data Cleaning: Exploring Preferences and Biases
by: AbdElazim, Hazim, et al.
Published: (2026)

SQLAgent: Learning to Explore Before Generating as a Data Engineer
by: Jiang, Wenjia, et al.
Published: (2026)

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
by: Liang, Zhiyu, et al.
Published: (2024)

Data Driven Decision Making with Time Series and Spatio-temporal Data
by: Yang, Bin, et al.
Published: (2025)

Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models
by: Liu, Xinyuan, et al.
Published: (2025)

DataClaw: An Autonomous Data Agent with Instant Messaging Integration
by: Li, Huahang, et al.
Published: (2026)

ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities
by: Yang, Jingyi, et al.
Published: (2025)

PV-SQL: Synergizing Database Probing and Rule-based Verification for Text-to-SQL Agents
by: Tian, Yuan, et al.
Published: (2026)

LeaFi: Data Series Indexes on Steroids with Learned Filters
by: Wang, Qitong, et al.
Published: (2025)

Efficient LLM Serving for Agentic Workflows: A Data Systems Perspective
by: Wadlom, Noppanat, et al.
Published: (2026)

Brame: Hierarchical Data Management Framework for Cloud-Edge-Device Collaboration
by: Liu, Xianglong, et al.
Published: (2025)