Advanced Analytics and Learning on Temporal Data

ISBN 10: 3030390977 / ISBN 13: 9783030390976

Published by Springer, 2020

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Bibliographic Details

• Title: Advanced Analytics and Learning on Temporal Data
• Publisher: Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 3030390977
• ISBN 13: 9783030390976
• Binding: Soft cover
• Condition: Brand New

About this title

Synopsis

This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Würzburg, 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.