Advanced Analytics and Learning on Temporal Data
Synopsis
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.
- Copyright:
- 2021 Springer Nature Switzerland AG
Book Details
- Book Quality:
- ISBN-13:
- 9783030914455
- Publisher:
- Springer International Publishing
- Date of Addition:
- 2021-12-31T08:19:57Z
- Language:
- English
- Categories:
- Usage Restrictions:
- This is a copyrighted book.