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Advanced analytics and learning on temporal data5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced analytics and learning on temporal dataedited by Vincent Lemaire ... [et al.].
Reminder of title:	5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020 : revised selected papers /
remainder title:	AALTD 2020
other author:	Lemaire, Vincent.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	x, 233 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-65742-0
ISBN:	9783030657420$q(electronic bk.)

Advanced analytics and learning on temporal data5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020 : revised selected papers /
Advanced analytics and learning on temporal data5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020 : revised selected papers /[electronic resource] :AALTD 2020edited by Vincent Lemaire ... [et al.]. - Cham :Springer International Publishing :2020. - x, 233 p. :ill., digital ;24 cm. - Lecture notes in computer science,125880302-9743 ;. - Lecture notes in computer science ;4891..

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 -- Bio-Informatics, Medical, Energy Consumption, Temporal Data.

This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Ghent, Belgium, in September 2020. The 15 full papers presented in this book were carefully reviewed and selected from 29 submissions. The selected papers are devoted to 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, Temporal Data.

ISBN: 9783030657420$q(electronic bk.)

Standard No.: 10.1007/978-3-030-65742-0doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Advanced analytics and learning on temporal data5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020 : revised selected papers /
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