Image de couverture de livre

Data Driven Decision Making with Time Series and Spatio-temporal Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Bin, Liang, Yuxuan, Guo, Chenjuan, Jensen, Christian S.
Format:	Preprint
Publié:	2025
Sujets:	Databases Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version
par: Campos, David, et autres
Publié: (2026)

An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data--Extended Version
par: Zhang, Buang, et autres
Publié: (2025)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
par: Miao, Hao, et autres
Publié: (2024)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version
par: Campos, David, et autres
Publié: (2024)

Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
par: Liang, Yuxuan, et autres
Publié: (2025)

RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems
par: Ouyang, Biao, et autres
Publié: (2025)

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching--Extended Version
par: Miao, Hao, et autres
Publié: (2024)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version
par: Campos, David, et autres
Publié: (2021)

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
par: Liang, Zhiyu, et autres
Publié: (2024)

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
par: Liang, Zhiyu, et autres
Publié: (2025)

MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version)
par: Liu, Hengyu, et autres
Publié: (2025)

E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
par: Lai, Zhichen, et autres
Publié: (2024)

FedST: Secure Federated Shapelet Transformation for Time Series Classification
par: Liang, Zhiyu, et autres
Publié: (2023)

Naive Bayes Classifiers over Missing Data: Decision and Poisoning
par: Bian, Song, et autres
Publié: (2023)

UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning
par: Liang, Zhiyu, et autres
Publié: (2023)

Fully Automated Correlated Time Series Forecasting in Minutes
par: Wu, Xinle, et autres
Publié: (2024)

SEAnet: A Deep Learning Architecture for Data Series Similarity Search
par: Wang, Qitong, et autres
Publié: (2026)

Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models
par: Shang, Panos Kalnis. Shuo, et autres
Publié: (2025)

Making LLMs Work for Enterprise Data Tasks
par: Demiralp, Çağatay, et autres
Publié: (2024)

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting
par: Liu, Xvyuan, et autres
Publié: (2025)

Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs
par: Tang, Yafeng, et autres
Publié: (2025)

TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation
par: Wu, Xingjian, et autres
Publié: (2026)

DTMamba : Dual Twin Mamba for Time Series Forecasting
par: Wu, Zexue, et autres
Publié: (2024)

TODS: An Automated Time Series Outlier Detection System
par: Lai, Kwei-Herng, et autres
Publié: (2020)

CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
par: Barboza, Eduardo V. L., et autres
Publié: (2026)

ImputeGAP: A Comprehensive Library for Time Series Imputation
par: Nater, Quentin, et autres
Publié: (2025)

FeatNavigator: Automatic Feature Augmentation on Tabular Data
par: Liang, Jiaming, et autres
Publié: (2024)

MontePrep: Monte-Carlo-Driven Automatic Data Preparation without Target Data Instances
par: Ge, Congcong, et autres
Publié: (2025)

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
par: Yang, Yiyuan, et autres
Publié: (2024)

Combining Observational Data and Language for Species Range Estimation
par: Hamilton, Max, et autres
Publié: (2024)

A Survey on Time-Series Distance Measures
par: Paparrizos, John, et autres
Publié: (2024)

RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms
par: Abdelmaksoud, Mohamed, et autres
Publié: (2026)

SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses
par: Wu, Yifan, et autres
Publié: (2026)

Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version
par: Phan, Hong-Phuc, et autres
Publié: (2026)

In-Database Data Imputation
par: Perini, Massimo, et autres
Publié: (2024)

Aegis: A Correlation-Based Data Masking Advisor for Data Sharing Ecosystems
par: Laskar, Omar Islam, et autres
Publié: (2025)

Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams
par: Shaowang, Ted, et autres
Publié: (2025)

Matrix Profile for Anomaly Detection on Multidimensional Time Series
par: Yeh, Chin-Chia Michael, et autres
Publié: (2024)

Bridging the Gap: A Decade Review of Time-Series Clustering Methods
par: Paparrizos, John, et autres
Publié: (2024)

Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024)
par: Bena, Nicola, et autres
Publié: (2025)