Advanced Analytics and Learning on Temporal Data
Author | : Vincent Lemaire |
Publisher | : Springer Nature |
Total Pages | : 202 |
Release | : 2021-12-02 |
ISBN-10 | : 9783030914455 |
ISBN-13 | : 3030914453 |
Rating | : 4/5 (55 Downloads) |
Book excerpt: 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.