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{ "item_title" : "Advanced Analytics and Learning on Temporal Data", "item_author" : [" Vincent Lemaire", "Simon Malinowski", "Anthony Bagnall "], "item_description" : "This book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic.The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/091/444/3030914445_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "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 : 6th Ecml Pkdd Workshop, Aaltd 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers

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Overview

This book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic.

The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection.

This item is Non-Returnable

Details

  • ISBN-13: 9783030914448
  • ISBN-10: 3030914445
  • Publisher: Springer
  • Publish Date: December 2021
  • Dimensions: 9.21 x 6.14 x 0.44 inches
  • Shipping Weight: 0.66 pounds
  • Page Count: 195

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