000			02767cam a2200397Mi 4500
001			95083
003			ES-MaUEC
005			20230102112646.0
006			m o d
007			cr |n|||||||||
008			161227s2017 gw ob 000 0 eng d
020			_a3662534304 _q(electronic bk.)
020			_a9783662534304 _q(electronic bk.)
020			_z3662534282
020			_z9783662534281
035			_a(OCoLC)967262786 _z(OCoLC)967322467 _z(OCoLC)968303701 _z(OCoLC)974650726 _z(OCoLC)1005772503 _z(OCoLC)1011850037
040			_aYDX _cYDX _dN$T _dIDEBK _dN$T _dGW5XE _dAZU _dN$T _dUAB _dOCLCF _dCOO _dOCLCQ _dUPM _dIOG _dESU _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dVT2 _dU3W _dES-MaUEC _bspa
050		4	_aQA280 _b.Z436 2017 EB
100	1		_aZhang, Jianye.
245	1	0	_aTime series analysis methods and applications for flight data _cJianye Zhang, Peng Zhang.
264		1	_aBerlin, Germany _bSpringer _c2017
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_aIntroduction -- Preprocessing of Flight Data -- Typical Time Series Analysis for Flight Data -- Similarity Search for Flight Data -- Condition Monitoring and Trend Prediction Based on Flight Data -- Design and Implementation Of flight Data Mining System.
520	3		_aThis book focuses on different facets of flight data analysis, including the basic goals, methods, and implementation techniques. As mass flight data possesses the typical characteristics of time series, the time series analysis methods and their application for flight data have been illustrated from several aspects, such as data filtering, data extension, feature optimization, similarity search, trend monitoring, fault diagnosis, and parameter prediction, etc. An intelligent information-processing platform for flight data has been established to assist in aircraft condition monitoring, training evaluation and scientific maintenance. The book will serve as a reference resource for people working in aviation management and maintenance, as well as researchers and engineers in the fields of data analysis and data mining.
650		7	_aData mining _2embne _0(OCoLC)fst00887946 _0comprobar BNE20033218554 _9162648
700	1		_aZhang, Peng. _999002
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-662-53430-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017B
998			_b02/2018 _dz _e- _zSI
999			_c95083 _d95083 _x1