Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers (Lecture Notes in Computer Science #9785)
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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.
The book, Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers (Lecture Notes in Computer Science #9785) [Bulk, Wholesale, Quantity] ISBN#9783319444116 in Paperback by may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer International Publishing
- Format
- Paperback
- Published
- Aug 4, 2016
- ISBN-13
- 9783319444116
- Pages
- 173
- Printing
- Printed on demand
Advanced Analysis and Learning on Temporal Data in bulk: pricing
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| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $48.39 | 12% off list |
| 50 – 99 | $47.84 | 13% off list |
| 100+ | $47.29 | 14% off list |
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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 (Lecture Notes in Computer Science #9785) [9783319444116]
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