ARIMA_PLUS: Large-scale, Accurate, Automatic and Interpretable In-Database Time Series Forecasting and Anomaly Detection in Google BigQuery

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cheng, Xi, Shen, Weijie, Chen, Haoming, Shen, Chaoyi, Ortega, Jean, Liu, Jiashang, Thomas, Steve, Zheng, Honglin, Wu, Haoyun, Li, Yuxiang, Lichtendahl, Casey, Ortiz, Jenny, Liu, Gang, Qi, Haiyang, Fatemieh, Omid, Fry, Chris, Long, Jing Jing
Format:	Preprint
Publié:	2025
Sujets:	Distributed, Parallel, and Cluster Computing Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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