ENGLISH

Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers

By Ahlame Douzal-Chouakria , José A. Vilar , Pierre-François Marteau (eds.)

Book information

Publisher
Springer International Publishing
Year
2016
ISBN
978-3-319-44411-6, 978-3-319-44412-3
DOI
10.1007/978-3-319-44412-3
Language
english
Format
PDF
Filesize
18 MB (18551538 bytes)
Series
Lecture Notes in Computer Science 9785
Edition
1
Pages
X, 173\180
Time added
2016-11-20 09:00:00
Artificial Intelligence (incl. Robotics);Database

Description

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.

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