Advanced Analytics and Learning on Temporal Data 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers 12588 Lecture Notes in Computer Science, 12588

Vincent Lemaire

Advanced Analytics and Learning on Temporal Data 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers 12588 Lecture Notes in Computer Science, 12588 - 1
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Advanced Analytics and Learning on Temporal Data 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers 12588 Lecture Notes in Computer Science, 12588
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...

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Advanced Analytics and Learning on Temporal Data 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers 12588 Lecture Notes in Computer Science, 12588

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.


Nº de Páginas: 233
Encadernação: Capa Mole / Paperback
Tema: Data mining
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Advanced Analytics and Learning on Temporal Data 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers 12588 Lecture Notes in Computer Science, 12588

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Editora

Springer Nature Switzerland AG

Idiomas

Inglês

Número de páginas

233,0

Peso

310,0

Data de lançamento

16/12/2020

Série/Edição Limitada

1st ed. 2020

EAN

9783030657413

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