Sinopsis
This 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.
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De la contraportada
This 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.
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Time Series Analysis Methods and Applications for Flight Data
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Time Series Analysis Methods and Applications for Flight Data
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Time Series Analysis Methods and Applications for Flight Data (eng)
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Time Series Analysis Methods and Applications for Flight Data
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Time Series Analysis Methods and Applications for Flight Data
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Springer Berlin Heidelberg, 2017
ISBN 10: 3662534282
ISBN 13: 9783662534281
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book available on both the theories of flight data and its applicationConstructs a theoretical system of time series analysis based on flight dataExplores data mining methods for massive flight dataProvides several examples. Nº de ref. del artículo: 129626237
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Time Series Analysis Methods and Applications for Flight Data
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Springer, Springer Jan 2017, 2017
ISBN 10: 3662534282
ISBN 13: 9783662534281
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This 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. 252 pp. Englisch. Nº de ref. del artículo: 9783662534281
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TIME SERIES ANALYSIS METHODS AND APPLICATIONS FOR FLIGHT DATA
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Condición: New. Nº de ref. del artículo: 26375627392
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Time Series Analysis Methods and Applications for Flight Data
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Springer, Springer Jan 2017, 2017
ISBN 10: 3662534282
ISBN 13: 9783662534281
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 252 pp. Englisch. Nº de ref. del artículo: 9783662534281
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Time Series Analysis Methods and Applications for Flight Data
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This 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. Nº de ref. del artículo: 9783662534281
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Time Series Analysis Methods and Applications for Flight Data
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Hardcover. Condición: New. New. book. Nº de ref. del artículo: ERICA78736625342826
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