1.

Record Nr.

UNISA996517753503316

Titolo

Advanced Analytics and Learning on Temporal Data : 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers / / Thomas Guyet [and five others] (editors)

Pubbl/distr/stampa

Cham, Switzerland : , : Springer, , [2023]

©2023

ISBN

3-031-24378-1

Edizione

[First edition.]

Descrizione fisica

1 online resource (209 pages)

Collana

Lecture Notes in Computer Science Series ; ; Volume 13812

Disciplina

006.31

Soggetti

Machine learning

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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 framework supporting the life-cycle of time series anomaly detection applications.

Sommario/riassunto

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.