Data & IT
Pocket
Advanced Analytics and Learning on Temporal Data
Vincent Lemaire • Simon Malinowski • Anthony Bagnall • Thomas Guyet • Romain Tavenard
799:-
Uppskattad leveranstid 5-9 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
Andra format:
- Pocket/Paperback 959:-
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.
- Format: Pocket/Paperback
- ISBN: 9783030914448
- Språk: Engelska
- Antal sidor: 195
- Utgivningsdatum: 2021-12-01
- Förlag: Springer Nature Switzerland AG