MARC details
000 -LIDER |
fixed length control field |
03463nam a22005535i 4500 |
001 - CONTROL NUMBER |
control field |
978-3-658-20367-2 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20210201191254.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
171201s2018 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783658203672 |
-- |
978-3-658-20367-2 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TL1-483 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
TRC |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
TEC009090 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
TRC |
Source |
thema |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
TRCS |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
629.2 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Bergmeir, Philipp. |
Relator term |
author. |
Relator code |
aut |
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http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT |
Title |
Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data |
Medium |
[electronic resource] / |
Statement of responsibility, etc. |
by Philipp Bergmeir. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2018. |
264 #1 - |
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Wiesbaden : |
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Springer Fachmedien Wiesbaden : |
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Imprint: Springer Vieweg, |
-- |
2018. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XXXII, 166 p. 34 illus., 11 illus. in color. |
Other physical details |
online resource. |
336 ## - |
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text |
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txt |
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rdacontent |
337 ## - |
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computer |
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c |
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rdamedia |
338 ## - |
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online resource |
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cr |
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rdacarrier |
347 ## - |
-- |
text file |
-- |
PDF |
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rda |
490 1# - SERIES STATEMENT |
Series statement |
Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart, |
International Standard Serial Number |
2567-0042 |
500 ## - GENERAL NOTE |
General note |
Acceso multiusuario |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded for large hybrid electric vehicle fleets. In particular, he presents new approaches for uncovering and describing stress and usage patterns that are related to failures of selected components of the hybrid power-train. Contents Classifying Component Failures of a Vehicle Fleet Visualising Different Kinds of Vehicle Stress and Usage Identifying Usage and Stress Patterns in a Vehicle Fleet Target Groups Students and scientists in the field of automotive engineering and data science Engineers in the automotive industry About the Author Philipp Bergmeir did a PhD in the doctoral program "Promotionskolleg HYBRID" at the Institute for Internal Combustion Engines and Automotive Engineering, University of Stuttgart, in cooperation with the Esslingen University of Applied Sciences and a well-known vehicle manufacturer. Currently, he is working as a data scientist in the automotive industry. |
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Owner |
UABC ; |
Method of acquisition |
Temporal ; |
Date of acquisition |
01/01/2021-12/31/2023. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Automotive engineering. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Data mining. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Pattern recognition. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Automotive Engineering. |
-- |
https://scigraph.springernature.com/ontologies/product-market-codes/T17047 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Data Mining and Knowledge Discovery. |
-- |
https://scigraph.springernature.com/ontologies/product-market-codes/I18030 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Pattern Recognition. |
-- |
https://scigraph.springernature.com/ontologies/product-market-codes/I2203X |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783658203665 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783658203689 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart, |
-- |
2567-0042 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-658-20367-2 |
912 ## - |
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ZDB-2-ENG |
912 ## - |
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ZDB-2-SXE |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Libro Electrónico |