Advanced Analytics and Learning on Temporal Data
7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers
Published on 21. March 2023
Book
Paperback/Softback
XVI, 197 pages
978-3-031-24377-6 (ISBN)
Description
This book constitutes the refereed proceedings of the 7th ECML PKDD Workshop, AALTD 2022, held in Grenoble, France, during September 19-23, 2022.
The 12 full papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: Oral presentation and poster presentation.
The 12 full papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: Oral presentation and poster presentation.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
28 s/w Abbildungen, 58 farbige Abbildungen
XVI, 197 p. 86 illus., 58 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 12 mm
Weight
335 gr
ISBN-13
978-3-031-24377-6 (9783031243776)
DOI
10.1007/978-3-031-24378-3
Schweitzer Classification
Other editions
Additional editions
Thomas Guyet | Georgiana Ifrim | Simon Malinowski
Advanced Analytics and Learning on Temporal Data
7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers
E-Book
03/2023
Springer
€58.84
Available for download
Content
Oral Presentation.- Adjustable Context-aware Transformer.- Clustering of time series based on forecasting performance of global models.- Experimental study of time series forecasting methods for groundwater level prediction.- Fast Time Series Classification with Random Symbolic Subsequences.- RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection.- Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark.- Poster Presentation.- Application of Attention mechanism combined with Long Short-Term Memory for forecasting Dissolved Oxygen in Ganga River.- Data Augmentation for Time Series Classification with Deep Learning.- Dimension selection strategies for multivariate time series classification with HIVE-COTEv2.0.- EDGAR: Embedded Detection of Gunshots by AI in Real-time.- Identification of the Best Accelerometer Features and Time-scale to Detect Disturbances in Calves.- ODIN AD: a frameworksupporting the life-cycle of time series anomaly detection applications.