Data & IT
Pocket
Advanced Analytics and Learning on Temporal Data
Vincent Lemaire • Simon Malinowski • Anthony Bagnall • Alexis Bondu • Thomas Guyet
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This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Wrzburg, Germany, in September 2019. The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions. The papers cover topics such as temporal data clustering; classification of univariate and multivariate time series; early classification of temporal data; deep learning and learning representations for temporal data; modeling temporal dependencies; advanced forecasting and prediction models; space-temporal statistical analysis; functional data analysis methods; temporal data streams; interpretable time-series analysis methods; dimensionality reduction, sparsity, algorithmic complexity and big data challenge; and bio-informatics, medical, energy consumption, on temporal data.
- Format: Pocket/Paperback
- ISBN: 9783030390976
- Språk: Engelska
- Antal sidor: 229
- Utgivningsdatum: 2020-01-23
- Förlag: Springer Nature Switzerland AG