Advanced Analysis and Learning on Temporal Data : First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers / edited by Ahlame Douzal-Chouakria, José A. Vilar, Pierre-François Marteau

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerLink Bücher | Springer eBook Collection Computer Science | Lecture notes in computer science ; 9785Verlag: Cham : Springer, 2016Beschreibung: Online-Ressource (X, 173 p. 64 illus, online resource)ISBN:

9783319444123

Schlagwörter:

Andere physische Formen: 9783319444116 | Erscheint auch als: Advanced Analysis and Learning on Temporal Data. Druckausgabe Cham : Springer, 2016. X, 172 Seiten | Printed edition: 9783319444116 RVK: RVK: SS 4800LOC-Klassifikation:

Q334-342 TJ210.2-211.495
Q334-342
TJ210.2-211.495

DOI: DOI: 10.1007/978-3-319-44412-3Online-Ressourcen:

Zusammenfassung: 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 clusteringPPN: PPN: 165865868XPackage identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS | ZDB-2-SEB

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