Advanced Analytics and Learning on Temporal Data(Lecture Notes in Artificial Intelligence)

时态数据的*分析与学习:第6届 ECML PKDD 研讨会 2021 / 修订论文选

人工智能

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出  版 社
出版时间
2021年12月21日
装      帧
平装
ISBN
9783030914448
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页      码
195
开      本
9.2 x 6.1 x 0.4 cm
语      种
英文
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图书简介
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.
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