Order Total (1 Item Items):
Shipping Destination:
Unsupervised Pattern Discovery Automotive by Noering Fabian (18 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (18)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (17)
- As New, Fine or Near Fine (1)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (18)
Collectible Attributes
- First Edition (2)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (5)
- Not Print on Demand (13)
Language (1)
Price
- Any Price
- Under £ 20 (No further results match this refinement)
- £ 20 to £ 40 (No further results match this refinement)
- Over £ 40
Free Shipping
Seller Location
Seller Rating
-
Condition: new.
-
Unsupervised Pattern Discovery in Automotive Time Series (Paperback)
Published by Springer Fachmedien Wiesbaden, Weisbaden, 2022
ISBN 10: 3658363355 ISBN 13: 9783658363352
Language: English
First Edition
Paperback. Condition: new. Paperback. In the last decade unsupervised pattern discovery in time series, i.e. the problem of finding recurrent similar subsequences in long multivariate time series without the need of querying subsequences, has earned more and more attention in research and industry. Pattern discovery was already successfully applied to various areas like seismology, medicine, robotics or music. Until now an application to automotive time series has not been investigated. This dissertation fills this desideratum by studying the special characteristics of vehicle sensor logs and proposing an appropriate approach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles. In the last decade unsupervised pattern discovery in time series, i.e. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
Unsupervised Pattern Discovery in Automotive Time Series
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 72.53
Convert currency£ 3.29 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Condition: New.
-
Condition: New.
-
Condition: new.
-
Condition: As New. Unread book in perfect condition.
-
Unsupervised Pattern Discovery in Automotive Time Series: Pattern-based Construction of Representative Driving Cycles (AutoUni - Schriftenreihe)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 87.22
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Unsupervised Pattern Discovery in Automotive Time Series : Pattern-based Construction of Representative Driving Cycles
Published by Springer Vieweg 2022-03, 2022
ISBN 10: 3658363355 ISBN 13: 9783658363352
Language: English
£ 84.01
Convert currency£ 15.49 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPF. Condition: New.
-
Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
-
Unsupervised Pattern Discovery in Automotive Time Series
Published by Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Mär 2022, 2022
ISBN 10: 3658363355 ISBN 13: 9783658363352
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 86.04
Convert currency£ 52.05 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -In the last decade unsupervised pattern discovery in time series, i.e. the problem of finding recurrent similar subsequences in long multivariate time series without the need of querying subsequences, has earned more and more attention in research and industry. Pattern discovery was already successfully applied to various areas like seismology, medicine, robotics or music. Until now an application to automotive time series has not been investigated. This dissertation fills this desideratum by studying the special characteristics of vehicle sensor logs and proposing an appropriate approach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 172 pp. Englisch.
-
Unsupervised Pattern Discovery in Automotive Time Series : Pattern-based Construction of Representative Driving Cycles
Published by Springer Fachmedien Wiesbaden, 2022
ISBN 10: 3658363355 ISBN 13: 9783658363352
Language: English
£ 86.04
Convert currency£ 53.06 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the last decade unsupervised pattern discovery in time series, i.e. the problem of finding recurrent similar subsequences in long multivariate time series without the need of querying subsequences, has earned more and more attention in research and industry. Pattern discovery was already successfully applied to various areas like seismology, medicine, robotics or music. Until now an application to automotive time series has not been investigated. This dissertation fills this desideratum by studying the special characteristics of vehicle sensor logs and proposing an appropriate approach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles.
-
Unsupervised Pattern Discovery in Automotive Time Series (Paperback)
Published by Springer Fachmedien Wiesbaden, Weisbaden, 2022
ISBN 10: 3658363355 ISBN 13: 9783658363352
Language: English
First Edition
£ 119.71
Convert currency£ 27.75 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. In the last decade unsupervised pattern discovery in time series, i.e. the problem of finding recurrent similar subsequences in long multivariate time series without the need of querying subsequences, has earned more and more attention in research and industry. Pattern discovery was already successfully applied to various areas like seismology, medicine, robotics or music. Until now an application to automotive time series has not been investigated. This dissertation fills this desideratum by studying the special characteristics of vehicle sensor logs and proposing an appropriate approach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles. In the last decade unsupervised pattern discovery in time series, i.e. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Unsupervised Pattern Discovery in Automotive Time Series
Published by Springer Fachmedien Wiesbaden Mrz 2022, 2022
ISBN 10: 3658363355 ISBN 13: 9783658363352
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 86.04
Convert currency£ 19.95 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the last decade unsupervised pattern discovery in time series, i.e. the problem of finding recurrent similar subsequences in long multivariate time series without the need of querying subsequences, has earned more and more attention in research and industry. Pattern discovery was already successfully applied to various areas like seismology, medicine, robotics or music. Until now an application to automotive time series has not been investigated. This dissertation fills this desideratum by studying the special characteristics of vehicle sensor logs and proposing an appropriate approach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles. 172 pp. Englisch.
-
£ 79.99
Convert currency£ 25 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 169 pages. 8.26x5.82x0.37 inches. In Stock. This item is printed on demand.
-
Unsupervised Pattern Discovery in Automotive Time Series
Published by Springer Fachmedien Wiesbaden, 2022
ISBN 10: 3658363355 ISBN 13: 9783658363352
Language: English
£ 74.62
Convert currency£ 42.50 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fabian Kai Dietrich Noering is currently working in the technical development of Volkswagen AG as data scientist with a special interest in the analysis of time series regarding e.g. product optimization.In the last decade u.
-
£ 117.49
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
-
£ 121.49
Convert currency£ 8.63 shipping from Germany to U.S.A.Quantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
