Advanced Analytics and Learning on Temporal Data | 10th ECML PKDD Workshop, AALTD 2025, Porto, Portugal, September 19, 2025, Revised Selected Papers

Vincent Lemaire (u. a.)

ISBN 10: 3032155347 / ISBN 13: 9783032155344

Published by Springer, 2026

About this Item

Advanced Analytics and Learning on Temporal Data | 10th ECML PKDD Workshop, AALTD 2025, Porto, Portugal, September 19, 2025, Revised Selected Papers | Vincent Lemaire (u. a.) | Taschenbuch | Lecture Notes in Computer Science | x | Englisch | 2026 | Springer | EAN 9783032155344 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 134587427

Bibliographic Details

• Title: Advanced Analytics and Learning on Temporal Data | 10th ECML PKDD Workshop, AALTD 2025, Porto, Portugal, September 19, 2025, Revised Selected Papers
• Publisher: Springer
• Publication Date: 2026
• Language: English
• ISBN 10: 3032155347
• ISBN 13: 9783032155344
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 13D millimeters 235 millimeters width by 155 millimeters height by 13 millimeters depth
• Weight: 353 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book constitutes the revised selected papers of the 10th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2025, held in Porto, Portugal, on September 19, 2025.

The 13 full papers presented here were carefully reviewed and selected from 22 submissions. The papers focus on the following topics: Clustering and Analysis of Time Series; Forecasting and Prediction; Analysis and Processing of Time Series; Models and Approaches Based on Deep Learning and LLMs; Time Series Classification; Augmentation, Imputation, and Preprocessing Techniques.