Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers (1st ed. 2020) (Lecture Notes in Computer Science #11986)

Synopsis

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.

Copyright:

2020

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9783030390983

Related ISBNs:

9783030390976

Publisher:

Springer International Publishing

Date of Addition:

05/30/20

Copyrighted By:

Springer

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Romain Tavenard

Edited by:

Thomas Guyet

Edited by:

Alexis Bondu

Edited by:

Anthony Bagnall

Edited by:

Simon Malinowski

Edited by:

Vincent Lemaire