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Advanced analysis and learning on te...
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(1998 :)
Advanced analysis and learning on temporal datafirst ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015 : revised selected papers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advanced analysis and learning on temporal dataedited by Ahlame Douzal-Chouakria, Jose A. Vilar, Pierre-Francois Marteau.
Reminder of title:
first ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015 : revised selected papers /
remainder title:
AALTD 2015
other author:
Douzal-Chouakria, Ahlame.
corporate name:
Published:
Cham :Springer International Publishing :2016.
Description:
x, 173 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Time-series analysisCongresses.Data processing
Online resource:
http://dx.doi.org/10.1007/978-3-319-44412-3
ISBN:
9783319444123$q(electronic bk.)
Advanced analysis and learning on temporal datafirst ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015 : revised selected papers /
Advanced analysis and learning on temporal data
first ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015 : revised selected papers /[electronic resource] :AALTD 2015edited by Ahlame Douzal-Chouakria, Jose A. Vilar, Pierre-Francois Marteau. - Cham :Springer International Publishing :2016. - x, 173 p. :ill., digital ;24 cm. - Lecture notes in computer science,97850302-9743 ;. - Lecture notes in computer science ;4891..
This book constitutes the refereed proceedings of the First ECML PKDD Workshop, AALTD 2015, held in Porto, Portugal, in September 2016. The 11 full papers presented were carefully reviewed and selected from 22 submissions. The first part focuses on learning new representations and embeddings for time series classification, clustering or for dimensionality reduction. The second part presents approaches on classification and clustering with challenging applications on medicine or earth observation data. These works show different ways to consider temporal dependency in clustering or classification processes. The last part of the book is dedicated to metric learning and time series comparison, it addresses the problem of speeding-up the dynamic time warping or dealing with multi-modal and multi-scale metric learning for time series classification and clustering.
ISBN: 9783319444123$q(electronic bk.)
Standard No.: 10.1007/978-3-319-44412-3doiSubjects--Topical Terms:
758246
Time-series analysis
--Data processing--Congresses.
LC Class. No.: QA280
Dewey Class. No.: 519.55
Advanced analysis and learning on temporal datafirst ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015 : revised selected papers /
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first ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015 : revised selected papers /
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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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EB QA280 A112 2016
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http://dx.doi.org/10.1007/978-3-319-44412-3
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