Name: Advanced Analytics and Learning on Temporal Data: 6th Ecml Pkdd Workshop, Aaltd 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers (en Inglés)
Price: 194848.00 COP
Availability: InStock
Author: Lemaire, Vincent ; Malinowski, Simon ; Bagnall, Anthony
ISBN: 9783030914448

portada Advanced Analytics and Learning on Temporal Data: 6th Ecml Pkdd Workshop, Aaltd 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers (en Inglés)

Advanced Analytics and Learning on Temporal Data: 6th Ecml Pkdd Workshop, Aaltd 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Lemaire, Vincent ; Malinowski, Simon ; Bagnall, Anthony

Idioma

Inglés

N° páginas

195

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.1 cm

Peso

0.30 kg.

ISBN13

9783030914448

Categorías

Hardware de redes
Minería de datos («data mining»)
Inteligencia artificial

Advanced Analytics and Learning on Temporal Data: 6th Ecml Pkdd Workshop, Aaltd 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers (en Inglés)

Lemaire, Vincent ; Malinowski, Simon ; Bagnall, Anthony (Autor) · Springer · Tapa Blanda

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Reseña del libro "Advanced Analytics and Learning on Temporal Data: 6th Ecml Pkdd Workshop, Aaltd 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers (en Inglés)"

This book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic. The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection.