Advanced Analytics and Learning on Temporal Data
Redigert av Alexis Bondu, Vincent Lemaire, Thomas Guyet, Simon Malinowski, Romain Tavenard, Anthony Bagnall, 2020.Del av serien Lecture Notes in Computer Science.
4th ECML PKDD Workshop, AALTD 2019, Wurzburg, Germany, September 20, 2019, Revised Selected Papers
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.
Språk: Engelsk
Advanced Analytics and Learning on Temporal Data
Redigert av Alexis Bondu, Vincent Lemaire, Thomas Guyet, Simon Malinowski, Romain Tavenard, Anthony Bagnall, 2020.Del av serien Lecture Notes in Computer Science.
4th ECML PKDD Workshop, AALTD 2019, Wurzburg, Germany, September 20, 2019, Revised Selected Papers
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.
Språk: Engelsk
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