Lemaire Advanced Analytics and Learning on Temporal Data

Advanced Analytics and Learning on Temporal Data

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4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers

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Beschreibung

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.

 


Autor*in

Vincent Lemaire

Themen in »Advanced Analytics and Learning on Temporal Data«

time series analysis spatial-temporal systems supervised learning by classification classification and regression trees batch learning instance-based learning boosting forecasting computer networks data communication systems databases image processing internet machine learning network protocols

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Details

ISBN: 9783030390983
Verlag: Springer International Publishing
Erscheinung: 22.01.2020

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