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Advanced Analysis and Learning on Temporal Data

First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9785)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AALTD 2015.

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Table of contents (11 papers)

  1. Time Series Representation and Compression

  2. Time Series Classification and Clustering

  3. Metric Learning for Time Series Comparison

Other volumes

  1. Advanced Analysis and Learning on Temporal Data

Keywords

About this book

This book constitutes the refereed proceedings of the First ECML PKDD Workshop, AALTD 2015, held in Porto, Portugal, in September 2016. 
The 11 full papers presented were carefully reviewed and selected from 22 submissions. The first part focuses on learning new representations and embeddings for time series classification, clustering or for dimensionality reduction. The second part presents approaches on classification and clustering with challenging applications on medicine or earth observation data. These works show different ways to consider temporal dependency in clustering or classification processes. The last part of the book is dedicated to metric learning and time series comparison, it addresses the problem of speeding-up the dynamic time warping or dealing with multi-modal and multi-scale metric learning for time series classification and clustering.

 

Editors and Affiliations

  • Lab. d'Informatique de Grenoble, Université Grenoble, Grenoble, France

    Ahlame Douzal-Chouakria

  • Universidade da Coruna, Coruna, Spain

    José A. Vilar

  • IRISA, Université de Bretagne-Sud, Vannes, France

    Pierre-François Marteau

Bibliographic Information

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