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020			_a9783658363369
024	7		_a10.1007/978-3-658-36336-9 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aTL152.5 _b2022 EB
100	1		_aNoering, Fabian Kai Dietrich _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685721
245	1	0	_aUnsupervised Pattern Discovery in Automotive Time Series : _bPattern-based Construction of Representative Driving Cycles _cby Fabian Kai Dietrich Noering
250			_a1st edition 2022
264		1	_aWiesbaden _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXI, 148 páginas) _b56 ilustraciones, 19 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aAutoUni - Schriftenreihe _x2512-1154 _v159
505	0		_aIntroduction -- RelatedWork -- Development of Pattern Discovery Algorithms for Automotive Time Series -- Pattern-based Representative Cycles -- Evaluation -- Conclusion.
520			_aIn 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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9141270 _aSeries temporales
650		7	_2embne _9138836 _aVehículos de motor _xConducción _xModelos matemáticos
776	0	8	_iPrinted edition: _z9783658363352
776	0	8	_iPrinted edition: _z9783658363376
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-36336-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2022 _dz _eb _zSI