EUR 150,62
Quantità: 15 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 153,60
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Aggiungi al carrelloCondizione: New.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 150,08
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Aggiungi al carrelloCondizione: New. In.
EUR 150,07
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Aggiungi al carrelloCondizione: New.
EUR 166,34
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 167,30
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 183,10
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 187,70
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 248 pages. 6.69x9.45x0.67 inches. In Stock.
Condizione: New.
EUR 104,86
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
EUR 171,65
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Aggiungi al carrelloHardback. Condizione: New. This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model. Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information. This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.
EUR 213,18
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Aggiungi al carrelloCondizione: new.
EUR 159,95
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model. Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information. This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.
EUR 179,14
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Aggiungi al carrelloCondizione: New. Souvik Bhattacharyya, Koushik Ghosh, University of Burdwan,West Bengal, India.This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly,.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 232,22
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. 2022. Hardcover. . . . . .
EUR 289,67
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Aggiungi al carrelloCondizione: New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 318,89
Quantità: 1 disponibili
Aggiungi al carrellohardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 159,95
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model. Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information. This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it. 156 pp. Englisch.