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{ "item_title" : "Advanced Analytics and Learning on Temporal Data", "item_author" : [" Vincent Lemaire", "Georgiana Ifrim", "Anthony Bagnall "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/215/534/3032155347_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advanced Analytics and Learning on Temporal Data|Vincent Lemaire

Advanced Analytics and Learning on Temporal Data : 10th Ecml Pkdd Workshop, Aaltd 2025, Porto, Portugal, September 19, 2025, Revised Selected Papers

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9783032155344
  • ISBN-10: 3032155347
  • Publisher: Springer
  • Publish Date: February 2026
  • Dimensions: 9.21 x 6.14 x 0.48 inches
  • Shipping Weight: 0.72 pounds
  • Page Count: 215

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