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Unsupervised Pattern Discovery in Automotive Time Series (Record no. 200457832)

MARC details
000 -LEADER
fixed length control field	03266nam a22005655i 4500
003 - CONTROL NUMBER IDENTIFIER
control field	TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20231115190721.0
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	220323s2022 gw \| s \|\|\|\| 0\|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9783658363369
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code	10.1007/978-3-658-36336-9
Source of number or code	doi
040 ## - CATALOGING SOURCE
Original cataloging agency	TR-AnTOB
Language of cataloging	eng
Transcribing agency	TR-AnTOB
Description conventions	rda
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title	İngilizce
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number	TL152.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code	TRC
Source	bicssc

Subject category code	TEC009090
Source	bisacsh

Subject category code	TRC
Source	thema
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR)	TL152.5EBK
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Noering, Fabian Kai Dietrich.
Relator term	author.
Relator code	aut
--	http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title	Unsupervised Pattern Discovery in Automotive Time Series
Medium	[electronic resource] :
Remainder of title	Pattern-based Construction of Representative Driving Cycles /
Statement of responsibility, etc.	by Fabian Kai Dietrich Noering.
250 ## - EDITION STATEMENT
Edition statement	1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture	Wiesbaden :
Name of producer, publisher, distributor, manufacturer	Springer Fachmedien Wiesbaden :
--	Imprint: Springer Vieweg,
Date of production, publication, distribution, manufacture, or copyright notice	2022.
300 ## - PHYSICAL DESCRIPTION
Extent	1 online resource
336 ## - CONTENT TYPE
Content type term	text
Content type code	txt
Source	rdacontent
337 ## - MEDIA TYPE
Media type term	computer
Media type code	c
Source	rdamedia
338 ## - CARRIER TYPE
Carrier type term	online resource
Carrier type code	cr
Source	rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type	text file
Encoding format	PDF
Source	rda
490 1# - SERIES STATEMENT
Series statement	AutoUni – Schriftenreihe,
International Standard Serial Number	2512-1154 ;
Volume/sequential designation	159
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note	Introduction -- RelatedWork -- Development of Pattern Discovery Algorithms for Automotive Time Series -- Pattern-based Representative Cycles -- Evaluation -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc.	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. About the author 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Automotive engineering.

Topical term or geographic name entry element	Image processing—Digital techniques.

Topical term or geographic name entry element	Computer vision.

Topical term or geographic name entry element	Pattern recognition systems.

Topical term or geographic name entry element	Computer science.

Topical term or geographic name entry element	Automotive Engineering.

Topical term or geographic name entry element	Computer Imaging, Vision, Pattern Recognition and Graphics.

Topical term or geographic name entry element	Automated Pattern Recognition.

Topical term or geographic name entry element	Theory and Algorithms for Application Domains.
653 #0 - INDEX TERM--UNCONTROLLED
Uncontrolled term	Motor vehicle driving -- Mathematical models

Uncontrolled term	Time-series analysis
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	SpringerLink (Online service)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title	AutoUni – Schriftenreihe,
International Standard Serial Number	2512-1154 ;
Volume/sequential designation	159
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier	<a href="https://doi.org/10.1007/978-3-658-36336-9">https://doi.org/10.1007/978-3-658-36336-9</a>
Materials specified	Springer eBooks
Public note	Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme	Library of Congress Classification
Koha item type	E-Book

Holdings
Withdrawn status	Lost status	Source of classification or shelving scheme	Not for loan	Collection code	Home library	Current library	Date acquired	Source of acquisition	Inventory number	Total Checkouts	Full call number	Barcode	Date last seen	Copy number	Date shelved	Koha item type	Public note
		Library of Congress Classification	Geçerli değil-e-Kitap / Not applicable-e-Book	E-Kitap Koleksiyonu	Merkez Kütüphane	Merkez Kütüphane	11/10/2023	Satın Alma / Purchase	MAK		TL152.5EBK	EBK02709	15/11/2023	1	15/11/2023	E-Book