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Anotace knihy

This book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic. The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Plný název: Advanced Analytics and Learning on Temporal Data
• Autor: Simon Malinowski, Georgiana Ifrim, Thomas Guyet, Romain Tavenard, Anthony Bagnall
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 195
• EAN: 9783030914448
• ISBN: 3030914445
• ID: 38394246
• Nakladatelství: Springer Nature Switzerland AG
• Hmotnost: 326 g
• Rozměry: 235 × 155 × 12 mm
• Datum vydání: 01. December 2021

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