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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 / edited by Ahlame Douzal-Chouakria, José A. Vilar, Pierre-François Marteau.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 9785.
- Lecture Notes in Artificial Intelligence ; 9785
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Database management.
- Application software.
- Information storage and retrieval.
- Algorithms.
- Artificial Intelligence.
- Database Management.
- Information Systems Applications (incl. Internet).
- Information Storage and Retrieval.
- Algorithm Analysis and Problem Complexity.
- Local Subjects:
- Artificial Intelligence.
- Database Management.
- Information Systems Applications (incl. Internet).
- Information Storage and Retrieval.
- Algorithm Analysis and Problem Complexity.
- Physical Description:
- 1 online resource (X, 173 pages) : 64 illustrations.
- Edition:
- First edition 2016.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- System Details:
- text file PDF
- Summary:
- 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. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-44412-3
- 9783319444123
- Access Restriction:
- Restricted for use by site license.
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